laurent.sexy

normal mode unavailable here

root/nn/activia/fc/out2/out

--- Directories ---

--- Files ---

.fc(2)-sin-dropout=0-batchnorm=0-confusion-test.png.5Lqm7J fc(16)-CELU-dropout=0-batchnorm=0-confusion-learn.png fc(16)-CELU-dropout=0-batchnorm=0-confusion-test.png fc(16)-CELU-dropout=0-batchnorm=0-loss-2.png fc(16)-CELU-dropout=0-batchnorm=0-loss.png fc(16)-CELU-dropout=0-batchnorm=0-perf.png fc(16)-CELU-dropout=0-batchnorm=0.h5 fc(16)-CELU-dropout=0-batchnorm=1-confusion-learn.png fc(16)-CELU-dropout=0-batchnorm=1-confusion-test.png fc(16)-CELU-dropout=0-batchnorm=1-loss-2.png fc(16)-CELU-dropout=0-batchnorm=1-loss.png fc(16)-CELU-dropout=0-batchnorm=1-perf.png fc(16)-CELU-dropout=0-batchnorm=1.h5 fc(16)-CELU-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-CELU-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-CELU-dropout=0.5-batchnorm=0-loss-2.png fc(16)-CELU-dropout=0.5-batchnorm=0-loss.png fc(16)-CELU-dropout=0.5-batchnorm=0-perf.png fc(16)-CELU-dropout=0.5-batchnorm=0.h5 fc(16)-CELU-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-CELU-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-CELU-dropout=0.5-batchnorm=1-loss-2.png fc(16)-CELU-dropout=0.5-batchnorm=1-loss.png fc(16)-CELU-dropout=0.5-batchnorm=1-perf.png fc(16)-CELU-dropout=0.5-batchnorm=1.h5 fc(16)-ELU-dropout=0-batchnorm=0-confusion-learn.png fc(16)-ELU-dropout=0-batchnorm=0-confusion-test.png fc(16)-ELU-dropout=0-batchnorm=0-loss-2.png fc(16)-ELU-dropout=0-batchnorm=0-loss.png fc(16)-ELU-dropout=0-batchnorm=0-perf.png fc(16)-ELU-dropout=0-batchnorm=0.h5 fc(16)-ELU-dropout=0-batchnorm=1-confusion-learn.png fc(16)-ELU-dropout=0-batchnorm=1-confusion-test.png fc(16)-ELU-dropout=0-batchnorm=1-loss-2.png fc(16)-ELU-dropout=0-batchnorm=1-loss.png fc(16)-ELU-dropout=0-batchnorm=1-perf.png fc(16)-ELU-dropout=0-batchnorm=1.h5 fc(16)-ELU-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-ELU-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-ELU-dropout=0.5-batchnorm=0-loss-2.png fc(16)-ELU-dropout=0.5-batchnorm=0-loss.png fc(16)-ELU-dropout=0.5-batchnorm=0-perf.png fc(16)-ELU-dropout=0.5-batchnorm=0.h5 fc(16)-ELU-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-ELU-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-ELU-dropout=0.5-batchnorm=1-loss-2.png fc(16)-ELU-dropout=0.5-batchnorm=1-loss.png fc(16)-ELU-dropout=0.5-batchnorm=1-perf.png fc(16)-ELU-dropout=0.5-batchnorm=1.h5 fc(16)-GELU-dropout=0-batchnorm=0-confusion-learn.png fc(16)-GELU-dropout=0-batchnorm=0-confusion-test.png fc(16)-GELU-dropout=0-batchnorm=0-loss-2.png fc(16)-GELU-dropout=0-batchnorm=0-loss.png fc(16)-GELU-dropout=0-batchnorm=0-perf.png fc(16)-GELU-dropout=0-batchnorm=0.h5 fc(16)-GELU-dropout=0-batchnorm=1-confusion-learn.png fc(16)-GELU-dropout=0-batchnorm=1-confusion-test.png fc(16)-GELU-dropout=0-batchnorm=1-loss-2.png fc(16)-GELU-dropout=0-batchnorm=1-loss.png fc(16)-GELU-dropout=0-batchnorm=1-perf.png fc(16)-GELU-dropout=0-batchnorm=1.h5 fc(16)-GELU-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-GELU-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-GELU-dropout=0.5-batchnorm=0-loss-2.png fc(16)-GELU-dropout=0.5-batchnorm=0-loss.png fc(16)-GELU-dropout=0.5-batchnorm=0-perf.png fc(16)-GELU-dropout=0.5-batchnorm=0.h5 fc(16)-GELU-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-GELU-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-GELU-dropout=0.5-batchnorm=1-loss-2.png fc(16)-GELU-dropout=0.5-batchnorm=1-loss.png fc(16)-GELU-dropout=0.5-batchnorm=1-perf.png fc(16)-GELU-dropout=0.5-batchnorm=1.h5 fc(16)-Hardshrink-dropout=0-batchnorm=0-confusion-learn.png fc(16)-Hardshrink-dropout=0-batchnorm=0-confusion-test.png fc(16)-Hardshrink-dropout=0-batchnorm=0-loss-2.png fc(16)-Hardshrink-dropout=0-batchnorm=0-loss.png fc(16)-Hardshrink-dropout=0-batchnorm=0-perf.png fc(16)-Hardshrink-dropout=0-batchnorm=1-confusion-learn.png fc(16)-Hardshrink-dropout=0-batchnorm=1-confusion-test.png fc(16)-Hardshrink-dropout=0-batchnorm=1-loss-2.png fc(16)-Hardshrink-dropout=0-batchnorm=1-loss.png fc(16)-Hardshrink-dropout=0-batchnorm=1-perf.png fc(16)-Hardshrink-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-Hardshrink-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-Hardshrink-dropout=0.5-batchnorm=0-loss-2.png fc(16)-Hardshrink-dropout=0.5-batchnorm=0-loss.png fc(16)-Hardshrink-dropout=0.5-batchnorm=0-perf.png fc(16)-Hardshrink-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-Hardshrink-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-Hardshrink-dropout=0.5-batchnorm=1-loss-2.png fc(16)-Hardshrink-dropout=0.5-batchnorm=1-loss.png fc(16)-Hardshrink-dropout=0.5-batchnorm=1-perf.png fc(16)-Hardsigmoid-dropout=0-batchnorm=0-confusion-learn.png fc(16)-Hardsigmoid-dropout=0-batchnorm=0-confusion-test.png fc(16)-Hardsigmoid-dropout=0-batchnorm=0-loss-2.png fc(16)-Hardsigmoid-dropout=0-batchnorm=0-loss.png fc(16)-Hardsigmoid-dropout=0-batchnorm=0-perf.png fc(16)-Hardsigmoid-dropout=0-batchnorm=0.h5 fc(16)-Hardsigmoid-dropout=0-batchnorm=1-confusion-learn.png fc(16)-Hardsigmoid-dropout=0-batchnorm=1-confusion-test.png fc(16)-Hardsigmoid-dropout=0-batchnorm=1-loss-2.png fc(16)-Hardsigmoid-dropout=0-batchnorm=1-loss.png fc(16)-Hardsigmoid-dropout=0-batchnorm=1-perf.png fc(16)-Hardsigmoid-dropout=0-batchnorm=1.h5 fc(16)-Hardsigmoid-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-Hardsigmoid-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-Hardsigmoid-dropout=0.5-batchnorm=0-loss-2.png fc(16)-Hardsigmoid-dropout=0.5-batchnorm=0-loss.png fc(16)-Hardsigmoid-dropout=0.5-batchnorm=0-perf.png fc(16)-Hardsigmoid-dropout=0.5-batchnorm=0.h5 fc(16)-Hardsigmoid-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-Hardsigmoid-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-Hardsigmoid-dropout=0.5-batchnorm=1-loss-2.png fc(16)-Hardsigmoid-dropout=0.5-batchnorm=1-loss.png fc(16)-Hardsigmoid-dropout=0.5-batchnorm=1-perf.png fc(16)-Hardswish-dropout=0-batchnorm=0-confusion-learn.png fc(16)-Hardswish-dropout=0-batchnorm=0-confusion-test.png fc(16)-Hardswish-dropout=0-batchnorm=0-loss-2.png fc(16)-Hardswish-dropout=0-batchnorm=0-loss.png fc(16)-Hardswish-dropout=0-batchnorm=0-perf.png fc(16)-Hardswish-dropout=0-batchnorm=0.h5 fc(16)-Hardswish-dropout=0-batchnorm=1-confusion-learn.png fc(16)-Hardswish-dropout=0-batchnorm=1-confusion-test.png fc(16)-Hardswish-dropout=0-batchnorm=1-loss-2.png fc(16)-Hardswish-dropout=0-batchnorm=1-loss.png fc(16)-Hardswish-dropout=0-batchnorm=1-perf.png fc(16)-Hardswish-dropout=0-batchnorm=1.h5 fc(16)-Hardswish-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-Hardswish-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-Hardswish-dropout=0.5-batchnorm=0-loss-2.png fc(16)-Hardswish-dropout=0.5-batchnorm=0-loss.png fc(16)-Hardswish-dropout=0.5-batchnorm=0-perf.png fc(16)-Hardswish-dropout=0.5-batchnorm=0.h5 fc(16)-Hardswish-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-Hardswish-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-Hardswish-dropout=0.5-batchnorm=1-loss-2.png fc(16)-Hardswish-dropout=0.5-batchnorm=1-loss.png fc(16)-Hardswish-dropout=0.5-batchnorm=1-perf.png fc(16)-Hardtanh-dropout=0-batchnorm=0-confusion-learn.png fc(16)-Hardtanh-dropout=0-batchnorm=0-confusion-test.png fc(16)-Hardtanh-dropout=0-batchnorm=0-loss-2.png fc(16)-Hardtanh-dropout=0-batchnorm=0-loss.png fc(16)-Hardtanh-dropout=0-batchnorm=0-perf.png fc(16)-Hardtanh-dropout=0-batchnorm=0.h5 fc(16)-Hardtanh-dropout=0-batchnorm=1-confusion-learn.png fc(16)-Hardtanh-dropout=0-batchnorm=1-confusion-test.png fc(16)-Hardtanh-dropout=0-batchnorm=1-loss-2.png fc(16)-Hardtanh-dropout=0-batchnorm=1-loss.png fc(16)-Hardtanh-dropout=0-batchnorm=1-perf.png fc(16)-Hardtanh-dropout=0-batchnorm=1.h5 fc(16)-Hardtanh-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-Hardtanh-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-Hardtanh-dropout=0.5-batchnorm=0-loss-2.png fc(16)-Hardtanh-dropout=0.5-batchnorm=0-loss.png fc(16)-Hardtanh-dropout=0.5-batchnorm=0-perf.png fc(16)-Hardtanh-dropout=0.5-batchnorm=0.h5 fc(16)-Hardtanh-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-Hardtanh-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-Hardtanh-dropout=0.5-batchnorm=1-loss-2.png fc(16)-Hardtanh-dropout=0.5-batchnorm=1-loss.png fc(16)-Hardtanh-dropout=0.5-batchnorm=1-perf.png fc(16)-IdGELU-dropout=0-batchnorm=0-confusion-learn.png fc(16)-IdGELU-dropout=0-batchnorm=0-confusion-test.png fc(16)-IdGELU-dropout=0-batchnorm=0-loss-2.png fc(16)-IdGELU-dropout=0-batchnorm=0-loss.png fc(16)-IdGELU-dropout=0-batchnorm=0-perf.png fc(16)-IdGELU-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-IdGELU-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-IdGELU-dropout=0.5-batchnorm=0-loss-2.png fc(16)-IdGELU-dropout=0.5-batchnorm=0-loss.png fc(16)-IdGELU-dropout=0.5-batchnorm=0-perf.png fc(16)-IdGELUsin-dropout=0-batchnorm=0-confusion-learn.png fc(16)-IdGELUsin-dropout=0-batchnorm=0-confusion-test.png fc(16)-IdGELUsin-dropout=0-batchnorm=0-loss-2.png fc(16)-IdGELUsin-dropout=0-batchnorm=0-loss.png fc(16)-IdGELUsin-dropout=0-batchnorm=0-perf.png fc(16)-IdGELUsin-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-IdGELUsin-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-IdGELUsin-dropout=0.5-batchnorm=0-loss-2.png fc(16)-IdGELUsin-dropout=0.5-batchnorm=0-loss.png fc(16)-IdGELUsin-dropout=0.5-batchnorm=0-perf.png fc(16)-Identity-dropout=0-batchnorm=0-confusion-learn.png fc(16)-Identity-dropout=0-batchnorm=0-confusion-test.png fc(16)-Identity-dropout=0-batchnorm=0-loss-2.png fc(16)-Identity-dropout=0-batchnorm=0-loss.png fc(16)-Identity-dropout=0-batchnorm=0-perf.png fc(16)-Identity-dropout=0-batchnorm=0.h5 fc(16)-Identity-dropout=0-batchnorm=1-confusion-learn.png fc(16)-Identity-dropout=0-batchnorm=1-confusion-test.png fc(16)-Identity-dropout=0-batchnorm=1-loss-2.png fc(16)-Identity-dropout=0-batchnorm=1-loss.png fc(16)-Identity-dropout=0-batchnorm=1-perf.png fc(16)-Identity-dropout=0-batchnorm=1.h5 fc(16)-Identity-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-Identity-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-Identity-dropout=0.5-batchnorm=0-loss-2.png fc(16)-Identity-dropout=0.5-batchnorm=0-loss.png fc(16)-Identity-dropout=0.5-batchnorm=0-perf.png fc(16)-Identity-dropout=0.5-batchnorm=0.h5 fc(16)-Identity-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-Identity-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-Identity-dropout=0.5-batchnorm=1-loss-2.png fc(16)-Identity-dropout=0.5-batchnorm=1-loss.png fc(16)-Identity-dropout=0.5-batchnorm=1-perf.png fc(16)-Identity-dropout=0.5-batchnorm=1.h5 fc(16)-Idsin-dropout=0-batchnorm=0-confusion-learn.png fc(16)-Idsin-dropout=0-batchnorm=0-confusion-test.png fc(16)-Idsin-dropout=0-batchnorm=0-loss-2.png fc(16)-Idsin-dropout=0-batchnorm=0-loss.png fc(16)-Idsin-dropout=0-batchnorm=0-perf.png fc(16)-Idsin-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-Idsin-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-Idsin-dropout=0.5-batchnorm=0-loss-2.png fc(16)-Idsin-dropout=0.5-batchnorm=0-loss.png fc(16)-Idsin-dropout=0.5-batchnorm=0-perf.png fc(16)-LeakyReLU(0.1)-dropout=0-batchnorm=0-confusion-learn.png fc(16)-LeakyReLU(0.1)-dropout=0-batchnorm=0-confusion-test.png fc(16)-LeakyReLU(0.1)-dropout=0-batchnorm=0-loss-2.png fc(16)-LeakyReLU(0.1)-dropout=0-batchnorm=0-loss.png fc(16)-LeakyReLU(0.1)-dropout=0-batchnorm=0-perf.png fc(16)-LeakyReLU(0.1)-dropout=0-batchnorm=0.h5 fc(16)-LeakyReLU(0.1)-dropout=0-batchnorm=1-confusion-learn.png fc(16)-LeakyReLU(0.1)-dropout=0-batchnorm=1-confusion-test.png fc(16)-LeakyReLU(0.1)-dropout=0-batchnorm=1-loss-2.png fc(16)-LeakyReLU(0.1)-dropout=0-batchnorm=1-loss.png fc(16)-LeakyReLU(0.1)-dropout=0-batchnorm=1-perf.png fc(16)-LeakyReLU(0.1)-dropout=0-batchnorm=1.h5 fc(16)-LeakyReLU(0.1)-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-LeakyReLU(0.1)-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-LeakyReLU(0.1)-dropout=0.5-batchnorm=0-loss-2.png fc(16)-LeakyReLU(0.1)-dropout=0.5-batchnorm=0-loss.png fc(16)-LeakyReLU(0.1)-dropout=0.5-batchnorm=0-perf.png fc(16)-LeakyReLU(0.1)-dropout=0.5-batchnorm=0.h5 fc(16)-LeakyReLU(0.1)-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-LeakyReLU(0.1)-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-LeakyReLU(0.1)-dropout=0.5-batchnorm=1-loss-2.png fc(16)-LeakyReLU(0.1)-dropout=0.5-batchnorm=1-loss.png fc(16)-LeakyReLU(0.1)-dropout=0.5-batchnorm=1-perf.png fc(16)-LeakyReLU(0.1)-dropout=0.5-batchnorm=1.h5 fc(16)-LeakyReLU(0.5)-dropout=0-batchnorm=0-confusion-learn.png fc(16)-LeakyReLU(0.5)-dropout=0-batchnorm=0-confusion-test.png fc(16)-LeakyReLU(0.5)-dropout=0-batchnorm=0-loss-2.png fc(16)-LeakyReLU(0.5)-dropout=0-batchnorm=0-loss.png fc(16)-LeakyReLU(0.5)-dropout=0-batchnorm=0-perf.png fc(16)-LeakyReLU(0.5)-dropout=0-batchnorm=0.h5 fc(16)-LeakyReLU(0.5)-dropout=0-batchnorm=1-confusion-learn.png fc(16)-LeakyReLU(0.5)-dropout=0-batchnorm=1-confusion-test.png fc(16)-LeakyReLU(0.5)-dropout=0-batchnorm=1-loss-2.png fc(16)-LeakyReLU(0.5)-dropout=0-batchnorm=1-loss.png fc(16)-LeakyReLU(0.5)-dropout=0-batchnorm=1-perf.png fc(16)-LeakyReLU(0.5)-dropout=0-batchnorm=1.h5 fc(16)-LeakyReLU(0.5)-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-LeakyReLU(0.5)-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-LeakyReLU(0.5)-dropout=0.5-batchnorm=0-loss-2.png fc(16)-LeakyReLU(0.5)-dropout=0.5-batchnorm=0-loss.png fc(16)-LeakyReLU(0.5)-dropout=0.5-batchnorm=0-perf.png fc(16)-LeakyReLU(0.5)-dropout=0.5-batchnorm=0.h5 fc(16)-LeakyReLU(0.5)-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-LeakyReLU(0.5)-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-LeakyReLU(0.5)-dropout=0.5-batchnorm=1-loss-2.png fc(16)-LeakyReLU(0.5)-dropout=0.5-batchnorm=1-loss.png fc(16)-LeakyReLU(0.5)-dropout=0.5-batchnorm=1-perf.png fc(16)-LeakyReLU(0.5)-dropout=0.5-batchnorm=1.h5 fc(16)-LeakyReLU(5.0)-dropout=0-batchnorm=0-confusion-learn.png fc(16)-LeakyReLU(5.0)-dropout=0-batchnorm=0-confusion-test.png fc(16)-LeakyReLU(5.0)-dropout=0-batchnorm=0-loss-2.png fc(16)-LeakyReLU(5.0)-dropout=0-batchnorm=0-loss.png fc(16)-LeakyReLU(5.0)-dropout=0-batchnorm=0-perf.png fc(16)-LeakyReLU(5.0)-dropout=0-batchnorm=0.h5 fc(16)-LeakyReLU(5.0)-dropout=0-batchnorm=1-confusion-learn.png fc(16)-LeakyReLU(5.0)-dropout=0-batchnorm=1-confusion-test.png fc(16)-LeakyReLU(5.0)-dropout=0-batchnorm=1-loss-2.png fc(16)-LeakyReLU(5.0)-dropout=0-batchnorm=1-loss.png fc(16)-LeakyReLU(5.0)-dropout=0-batchnorm=1-perf.png fc(16)-LeakyReLU(5.0)-dropout=0-batchnorm=1.h5 fc(16)-LeakyReLU(5.0)-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-LeakyReLU(5.0)-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-LeakyReLU(5.0)-dropout=0.5-batchnorm=0-loss-2.png fc(16)-LeakyReLU(5.0)-dropout=0.5-batchnorm=0-loss.png fc(16)-LeakyReLU(5.0)-dropout=0.5-batchnorm=0-perf.png fc(16)-LeakyReLU(5.0)-dropout=0.5-batchnorm=0.h5 fc(16)-LeakyReLU(5.0)-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-LeakyReLU(5.0)-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-LeakyReLU(5.0)-dropout=0.5-batchnorm=1-loss-2.png fc(16)-LeakyReLU(5.0)-dropout=0.5-batchnorm=1-loss.png fc(16)-LeakyReLU(5.0)-dropout=0.5-batchnorm=1-perf.png fc(16)-LeakyReLU(5.0)-dropout=0.5-batchnorm=1.h5 fc(16)-LeakyReLU-dropout=0-batchnorm=0-confusion-learn.png fc(16)-LeakyReLU-dropout=0-batchnorm=0-confusion-test.png fc(16)-LeakyReLU-dropout=0-batchnorm=0-loss-2.png fc(16)-LeakyReLU-dropout=0-batchnorm=0-loss.png fc(16)-LeakyReLU-dropout=0-batchnorm=0-perf.png fc(16)-LeakyReLU-dropout=0-batchnorm=0.h5 fc(16)-LeakyReLU-dropout=0-batchnorm=1-confusion-learn.png fc(16)-LeakyReLU-dropout=0-batchnorm=1-confusion-test.png fc(16)-LeakyReLU-dropout=0-batchnorm=1-loss-2.png fc(16)-LeakyReLU-dropout=0-batchnorm=1-loss.png fc(16)-LeakyReLU-dropout=0-batchnorm=1-perf.png fc(16)-LeakyReLU-dropout=0-batchnorm=1.h5 fc(16)-LeakyReLU-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-LeakyReLU-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-LeakyReLU-dropout=0.5-batchnorm=0-loss-2.png fc(16)-LeakyReLU-dropout=0.5-batchnorm=0-loss.png fc(16)-LeakyReLU-dropout=0.5-batchnorm=0-perf.png fc(16)-LeakyReLU-dropout=0.5-batchnorm=0.h5 fc(16)-LeakyReLU-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-LeakyReLU-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-LeakyReLU-dropout=0.5-batchnorm=1-loss-2.png fc(16)-LeakyReLU-dropout=0.5-batchnorm=1-loss.png fc(16)-LeakyReLU-dropout=0.5-batchnorm=1-perf.png fc(16)-LeakyReLU-dropout=0.5-batchnorm=1.h5 fc(16)-LogSigmoid-dropout=0-batchnorm=0-confusion-learn.png fc(16)-LogSigmoid-dropout=0-batchnorm=0-confusion-test.png fc(16)-LogSigmoid-dropout=0-batchnorm=0-loss-2.png fc(16)-LogSigmoid-dropout=0-batchnorm=0-loss.png fc(16)-LogSigmoid-dropout=0-batchnorm=0-perf.png fc(16)-LogSigmoid-dropout=0-batchnorm=1-confusion-learn.png fc(16)-LogSigmoid-dropout=0-batchnorm=1-confusion-test.png fc(16)-LogSigmoid-dropout=0-batchnorm=1-loss-2.png fc(16)-LogSigmoid-dropout=0-batchnorm=1-loss.png fc(16)-LogSigmoid-dropout=0-batchnorm=1-perf.png fc(16)-LogSigmoid-dropout=0-batchnorm=1.h5 fc(16)-LogSigmoid-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-LogSigmoid-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-LogSigmoid-dropout=0.5-batchnorm=0-loss-2.png fc(16)-LogSigmoid-dropout=0.5-batchnorm=0-loss.png fc(16)-LogSigmoid-dropout=0.5-batchnorm=0-perf.png fc(16)-LogSigmoid-dropout=0.5-batchnorm=0.h5 fc(16)-LogSigmoid-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-LogSigmoid-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-LogSigmoid-dropout=0.5-batchnorm=1-loss-2.png fc(16)-LogSigmoid-dropout=0.5-batchnorm=1-loss.png fc(16)-LogSigmoid-dropout=0.5-batchnorm=1-perf.png fc(16)-LogSoftmax-dropout=0-batchnorm=0-confusion-learn.png fc(16)-LogSoftmax-dropout=0-batchnorm=0-confusion-test.png fc(16)-LogSoftmax-dropout=0-batchnorm=0-loss-2.png fc(16)-LogSoftmax-dropout=0-batchnorm=0-loss.png fc(16)-LogSoftmax-dropout=0-batchnorm=0-perf.png fc(16)-LogSoftmax-dropout=0-batchnorm=0.h5 fc(16)-LogSoftmax-dropout=0-batchnorm=1-confusion-learn.png fc(16)-LogSoftmax-dropout=0-batchnorm=1-confusion-test.png fc(16)-LogSoftmax-dropout=0-batchnorm=1-loss-2.png fc(16)-LogSoftmax-dropout=0-batchnorm=1-loss.png fc(16)-LogSoftmax-dropout=0-batchnorm=1-perf.png fc(16)-LogSoftmax-dropout=0-batchnorm=1.h5 fc(16)-LogSoftmax-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-LogSoftmax-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-LogSoftmax-dropout=0.5-batchnorm=0-loss-2.png fc(16)-LogSoftmax-dropout=0.5-batchnorm=0-loss.png fc(16)-LogSoftmax-dropout=0.5-batchnorm=0-perf.png fc(16)-LogSoftmax-dropout=0.5-batchnorm=0.h5 fc(16)-LogSoftmax-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-LogSoftmax-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-LogSoftmax-dropout=0.5-batchnorm=1-loss-2.png fc(16)-LogSoftmax-dropout=0.5-batchnorm=1-loss.png fc(16)-LogSoftmax-dropout=0.5-batchnorm=1-perf.png fc(16)-LogSoftmax-dropout=0.5-batchnorm=1.h5 fc(16)-Mish-dropout=0-batchnorm=0-confusion-learn.png fc(16)-Mish-dropout=0-batchnorm=0-confusion-test.png fc(16)-Mish-dropout=0-batchnorm=0-loss-2.png fc(16)-Mish-dropout=0-batchnorm=0-loss.png fc(16)-Mish-dropout=0-batchnorm=0-perf.png fc(16)-Mish-dropout=0-batchnorm=0.h5 fc(16)-Mish-dropout=0-batchnorm=1-confusion-learn.png fc(16)-Mish-dropout=0-batchnorm=1-confusion-test.png fc(16)-Mish-dropout=0-batchnorm=1-loss-2.png fc(16)-Mish-dropout=0-batchnorm=1-loss.png fc(16)-Mish-dropout=0-batchnorm=1-perf.png fc(16)-Mish-dropout=0-batchnorm=1.h5 fc(16)-Mish-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-Mish-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-Mish-dropout=0.5-batchnorm=0-loss-2.png fc(16)-Mish-dropout=0.5-batchnorm=0-loss.png fc(16)-Mish-dropout=0.5-batchnorm=0-perf.png fc(16)-Mish-dropout=0.5-batchnorm=0.h5 fc(16)-Mish-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-Mish-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-Mish-dropout=0.5-batchnorm=1-loss-2.png fc(16)-Mish-dropout=0.5-batchnorm=1-loss.png fc(16)-Mish-dropout=0.5-batchnorm=1-perf.png fc(16)-Mish-dropout=0.5-batchnorm=1.h5 fc(16)-PReLU-dropout=0-batchnorm=0-confusion-learn.png fc(16)-PReLU-dropout=0-batchnorm=0-confusion-test.png fc(16)-PReLU-dropout=0-batchnorm=0-loss-2.png fc(16)-PReLU-dropout=0-batchnorm=0-loss.png fc(16)-PReLU-dropout=0-batchnorm=0-perf.png fc(16)-PReLU-dropout=0-batchnorm=0.h5 fc(16)-PReLU-dropout=0-batchnorm=1-confusion-learn.png fc(16)-PReLU-dropout=0-batchnorm=1-confusion-test.png fc(16)-PReLU-dropout=0-batchnorm=1-loss-2.png fc(16)-PReLU-dropout=0-batchnorm=1-loss.png fc(16)-PReLU-dropout=0-batchnorm=1-perf.png fc(16)-PReLU-dropout=0-batchnorm=1.h5 fc(16)-PReLU-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-PReLU-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-PReLU-dropout=0.5-batchnorm=0-loss-2.png fc(16)-PReLU-dropout=0.5-batchnorm=0-loss.png fc(16)-PReLU-dropout=0.5-batchnorm=0-perf.png fc(16)-PReLU-dropout=0.5-batchnorm=0.h5 fc(16)-PReLU-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-PReLU-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-PReLU-dropout=0.5-batchnorm=1-loss-2.png fc(16)-PReLU-dropout=0.5-batchnorm=1-loss.png fc(16)-PReLU-dropout=0.5-batchnorm=1-perf.png fc(16)-PReLU-dropout=0.5-batchnorm=1.h5 fc(16)-RReLU-dropout=0-batchnorm=0-confusion-learn.png fc(16)-RReLU-dropout=0-batchnorm=0-confusion-test.png fc(16)-RReLU-dropout=0-batchnorm=0-loss-2.png fc(16)-RReLU-dropout=0-batchnorm=0-loss.png fc(16)-RReLU-dropout=0-batchnorm=0-perf.png fc(16)-RReLU-dropout=0-batchnorm=0.h5 fc(16)-RReLU-dropout=0-batchnorm=1-confusion-learn.png fc(16)-RReLU-dropout=0-batchnorm=1-confusion-test.png fc(16)-RReLU-dropout=0-batchnorm=1-loss-2.png fc(16)-RReLU-dropout=0-batchnorm=1-loss.png fc(16)-RReLU-dropout=0-batchnorm=1-perf.png fc(16)-RReLU-dropout=0-batchnorm=1.h5 fc(16)-RReLU-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-RReLU-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-RReLU-dropout=0.5-batchnorm=0-loss-2.png fc(16)-RReLU-dropout=0.5-batchnorm=0-loss.png fc(16)-RReLU-dropout=0.5-batchnorm=0-perf.png fc(16)-RReLU-dropout=0.5-batchnorm=0.h5 fc(16)-RReLU-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-RReLU-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-RReLU-dropout=0.5-batchnorm=1-loss-2.png fc(16)-RReLU-dropout=0.5-batchnorm=1-loss.png fc(16)-RReLU-dropout=0.5-batchnorm=1-perf.png fc(16)-RReLU-dropout=0.5-batchnorm=1.h5 fc(16)-ReLU-dropout=0-batchnorm=0-confusion-learn.png fc(16)-ReLU-dropout=0-batchnorm=0-confusion-test.png fc(16)-ReLU-dropout=0-batchnorm=0-loss-2.png fc(16)-ReLU-dropout=0-batchnorm=0-loss.png fc(16)-ReLU-dropout=0-batchnorm=0-perf.png fc(16)-ReLU-dropout=0-batchnorm=0.h5 fc(16)-ReLU-dropout=0-batchnorm=1-confusion-learn.png fc(16)-ReLU-dropout=0-batchnorm=1-confusion-test.png fc(16)-ReLU-dropout=0-batchnorm=1-loss-2.png fc(16)-ReLU-dropout=0-batchnorm=1-loss.png fc(16)-ReLU-dropout=0-batchnorm=1-perf.png fc(16)-ReLU-dropout=0-batchnorm=1.h5 fc(16)-ReLU-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-ReLU-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-ReLU-dropout=0.5-batchnorm=0-loss-2.png fc(16)-ReLU-dropout=0.5-batchnorm=0-loss.png fc(16)-ReLU-dropout=0.5-batchnorm=0-perf.png fc(16)-ReLU-dropout=0.5-batchnorm=0.h5 fc(16)-ReLU-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-ReLU-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-ReLU-dropout=0.5-batchnorm=1-loss-2.png fc(16)-ReLU-dropout=0.5-batchnorm=1-loss.png fc(16)-ReLU-dropout=0.5-batchnorm=1-perf.png fc(16)-ReLU-dropout=0.5-batchnorm=1.h5 fc(16)-SELU-dropout=0-batchnorm=0-confusion-learn.png fc(16)-SELU-dropout=0-batchnorm=0-confusion-test.png fc(16)-SELU-dropout=0-batchnorm=0-loss-2.png fc(16)-SELU-dropout=0-batchnorm=0-loss.png fc(16)-SELU-dropout=0-batchnorm=0-perf.png fc(16)-SELU-dropout=0-batchnorm=0.h5 fc(16)-SELU-dropout=0-batchnorm=1-confusion-learn.png fc(16)-SELU-dropout=0-batchnorm=1-confusion-test.png fc(16)-SELU-dropout=0-batchnorm=1-loss-2.png fc(16)-SELU-dropout=0-batchnorm=1-loss.png fc(16)-SELU-dropout=0-batchnorm=1-perf.png fc(16)-SELU-dropout=0-batchnorm=1.h5 fc(16)-SELU-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-SELU-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-SELU-dropout=0.5-batchnorm=0-loss-2.png fc(16)-SELU-dropout=0.5-batchnorm=0-loss.png fc(16)-SELU-dropout=0.5-batchnorm=0-perf.png fc(16)-SELU-dropout=0.5-batchnorm=0.h5 fc(16)-SELU-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-SELU-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-SELU-dropout=0.5-batchnorm=1-loss-2.png fc(16)-SELU-dropout=0.5-batchnorm=1-loss.png fc(16)-SELU-dropout=0.5-batchnorm=1-perf.png fc(16)-SELU-dropout=0.5-batchnorm=1.h5 fc(16)-SiLU-dropout=0-batchnorm=0-confusion-learn.png fc(16)-SiLU-dropout=0-batchnorm=0-confusion-test.png fc(16)-SiLU-dropout=0-batchnorm=0-loss-2.png fc(16)-SiLU-dropout=0-batchnorm=0-loss.png fc(16)-SiLU-dropout=0-batchnorm=0-perf.png fc(16)-SiLU-dropout=0-batchnorm=0.h5 fc(16)-SiLU-dropout=0-batchnorm=1-confusion-learn.png fc(16)-SiLU-dropout=0-batchnorm=1-confusion-test.png fc(16)-SiLU-dropout=0-batchnorm=1-loss-2.png fc(16)-SiLU-dropout=0-batchnorm=1-loss.png fc(16)-SiLU-dropout=0-batchnorm=1-perf.png fc(16)-SiLU-dropout=0-batchnorm=1.h5 fc(16)-SiLU-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-SiLU-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-SiLU-dropout=0.5-batchnorm=0-loss-2.png fc(16)-SiLU-dropout=0.5-batchnorm=0-loss.png fc(16)-SiLU-dropout=0.5-batchnorm=0-perf.png fc(16)-SiLU-dropout=0.5-batchnorm=0.h5 fc(16)-SiLU-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-SiLU-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-SiLU-dropout=0.5-batchnorm=1-loss-2.png fc(16)-SiLU-dropout=0.5-batchnorm=1-loss.png fc(16)-SiLU-dropout=0.5-batchnorm=1-perf.png fc(16)-SiLU-dropout=0.5-batchnorm=1.h5 fc(16)-Softmax-dropout=0-batchnorm=0-confusion-learn.png fc(16)-Softmax-dropout=0-batchnorm=0-confusion-test.png fc(16)-Softmax-dropout=0-batchnorm=0-loss-2.png fc(16)-Softmax-dropout=0-batchnorm=0-loss.png fc(16)-Softmax-dropout=0-batchnorm=0-perf.png fc(16)-Softmax-dropout=0-batchnorm=1-confusion-learn.png fc(16)-Softmax-dropout=0-batchnorm=1-confusion-test.png fc(16)-Softmax-dropout=0-batchnorm=1-loss-2.png fc(16)-Softmax-dropout=0-batchnorm=1-loss.png fc(16)-Softmax-dropout=0-batchnorm=1-perf.png fc(16)-Softmax-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-Softmax-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-Softmax-dropout=0.5-batchnorm=0-loss-2.png fc(16)-Softmax-dropout=0.5-batchnorm=0-loss.png fc(16)-Softmax-dropout=0.5-batchnorm=0-perf.png fc(16)-Softmax-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-Softmax-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-Softmax-dropout=0.5-batchnorm=1-loss-2.png fc(16)-Softmax-dropout=0.5-batchnorm=1-loss.png fc(16)-Softmax-dropout=0.5-batchnorm=1-perf.png fc(16)-Softmin-dropout=0-batchnorm=0-confusion-learn.png fc(16)-Softmin-dropout=0-batchnorm=0-confusion-test.png fc(16)-Softmin-dropout=0-batchnorm=0-loss-2.png fc(16)-Softmin-dropout=0-batchnorm=0-loss.png fc(16)-Softmin-dropout=0-batchnorm=0-perf.png fc(16)-Softmin-dropout=0-batchnorm=1-confusion-learn.png fc(16)-Softmin-dropout=0-batchnorm=1-confusion-test.png fc(16)-Softmin-dropout=0-batchnorm=1-loss-2.png fc(16)-Softmin-dropout=0-batchnorm=1-loss.png fc(16)-Softmin-dropout=0-batchnorm=1-perf.png fc(16)-Softmin-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-Softmin-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-Softmin-dropout=0.5-batchnorm=0-loss-2.png fc(16)-Softmin-dropout=0.5-batchnorm=0-loss.png fc(16)-Softmin-dropout=0.5-batchnorm=0-perf.png fc(16)-Softmin-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-Softmin-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-Softmin-dropout=0.5-batchnorm=1-loss-2.png fc(16)-Softmin-dropout=0.5-batchnorm=1-loss.png fc(16)-Softmin-dropout=0.5-batchnorm=1-perf.png fc(16)-Softplus-dropout=0-batchnorm=0-confusion-learn.png fc(16)-Softplus-dropout=0-batchnorm=0-confusion-test.png fc(16)-Softplus-dropout=0-batchnorm=0-loss-2.png fc(16)-Softplus-dropout=0-batchnorm=0-loss.png fc(16)-Softplus-dropout=0-batchnorm=0-perf.png fc(16)-Softplus-dropout=0-batchnorm=0.h5 fc(16)-Softplus-dropout=0-batchnorm=1-confusion-learn.png fc(16)-Softplus-dropout=0-batchnorm=1-confusion-test.png fc(16)-Softplus-dropout=0-batchnorm=1-loss-2.png fc(16)-Softplus-dropout=0-batchnorm=1-loss.png fc(16)-Softplus-dropout=0-batchnorm=1-perf.png fc(16)-Softplus-dropout=0-batchnorm=1.h5 fc(16)-Softplus-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-Softplus-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-Softplus-dropout=0.5-batchnorm=0-loss-2.png fc(16)-Softplus-dropout=0.5-batchnorm=0-loss.png fc(16)-Softplus-dropout=0.5-batchnorm=0-perf.png fc(16)-Softplus-dropout=0.5-batchnorm=0.h5 fc(16)-Softplus-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-Softplus-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-Softplus-dropout=0.5-batchnorm=1-loss-2.png fc(16)-Softplus-dropout=0.5-batchnorm=1-loss.png fc(16)-Softplus-dropout=0.5-batchnorm=1-perf.png fc(16)-Softplus-dropout=0.5-batchnorm=1.h5 fc(16)-Softshrink-dropout=0-batchnorm=0-confusion-learn.png fc(16)-Softshrink-dropout=0-batchnorm=0-confusion-test.png fc(16)-Softshrink-dropout=0-batchnorm=0-loss-2.png fc(16)-Softshrink-dropout=0-batchnorm=0-loss.png fc(16)-Softshrink-dropout=0-batchnorm=0-perf.png fc(16)-Softshrink-dropout=0-batchnorm=0.h5 fc(16)-Softshrink-dropout=0-batchnorm=1-confusion-learn.png fc(16)-Softshrink-dropout=0-batchnorm=1-confusion-test.png fc(16)-Softshrink-dropout=0-batchnorm=1-loss-2.png fc(16)-Softshrink-dropout=0-batchnorm=1-loss.png fc(16)-Softshrink-dropout=0-batchnorm=1-perf.png fc(16)-Softshrink-dropout=0-batchnorm=1.h5 fc(16)-Softshrink-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-Softshrink-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-Softshrink-dropout=0.5-batchnorm=0-loss-2.png fc(16)-Softshrink-dropout=0.5-batchnorm=0-loss.png fc(16)-Softshrink-dropout=0.5-batchnorm=0-perf.png fc(16)-Softshrink-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-Softshrink-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-Softshrink-dropout=0.5-batchnorm=1-loss-2.png fc(16)-Softshrink-dropout=0.5-batchnorm=1-loss.png fc(16)-Softshrink-dropout=0.5-batchnorm=1-perf.png fc(16)-Softsign-dropout=0-batchnorm=0-confusion-learn.png fc(16)-Softsign-dropout=0-batchnorm=0-confusion-test.png fc(16)-Softsign-dropout=0-batchnorm=0-loss-2.png fc(16)-Softsign-dropout=0-batchnorm=0-loss.png fc(16)-Softsign-dropout=0-batchnorm=0-perf.png fc(16)-Softsign-dropout=0-batchnorm=0.h5 fc(16)-Softsign-dropout=0-batchnorm=1-confusion-learn.png fc(16)-Softsign-dropout=0-batchnorm=1-confusion-test.png fc(16)-Softsign-dropout=0-batchnorm=1-loss-2.png fc(16)-Softsign-dropout=0-batchnorm=1-loss.png fc(16)-Softsign-dropout=0-batchnorm=1-perf.png fc(16)-Softsign-dropout=0-batchnorm=1.h5 fc(16)-Softsign-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-Softsign-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-Softsign-dropout=0.5-batchnorm=0-loss-2.png fc(16)-Softsign-dropout=0.5-batchnorm=0-loss.png fc(16)-Softsign-dropout=0.5-batchnorm=0-perf.png fc(16)-Softsign-dropout=0.5-batchnorm=0.h5 fc(16)-Softsign-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-Softsign-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-Softsign-dropout=0.5-batchnorm=1-loss-2.png fc(16)-Softsign-dropout=0.5-batchnorm=1-loss.png fc(16)-Softsign-dropout=0.5-batchnorm=1-perf.png fc(16)-Tanh-dropout=0-batchnorm=0-confusion-learn.png fc(16)-Tanh-dropout=0-batchnorm=0-confusion-test.png fc(16)-Tanh-dropout=0-batchnorm=0-loss-2.png fc(16)-Tanh-dropout=0-batchnorm=0-loss.png fc(16)-Tanh-dropout=0-batchnorm=0-perf.png fc(16)-Tanh-dropout=0-batchnorm=0.h5 fc(16)-Tanh-dropout=0-batchnorm=1-confusion-learn.png fc(16)-Tanh-dropout=0-batchnorm=1-confusion-test.png fc(16)-Tanh-dropout=0-batchnorm=1-loss-2.png fc(16)-Tanh-dropout=0-batchnorm=1-loss.png fc(16)-Tanh-dropout=0-batchnorm=1-perf.png fc(16)-Tanh-dropout=0-batchnorm=1.h5 fc(16)-Tanh-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-Tanh-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-Tanh-dropout=0.5-batchnorm=0-loss-2.png fc(16)-Tanh-dropout=0.5-batchnorm=0-loss.png fc(16)-Tanh-dropout=0.5-batchnorm=0-perf.png fc(16)-Tanh-dropout=0.5-batchnorm=0.h5 fc(16)-Tanh-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-Tanh-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-Tanh-dropout=0.5-batchnorm=1-loss-2.png fc(16)-Tanh-dropout=0.5-batchnorm=1-loss.png fc(16)-Tanh-dropout=0.5-batchnorm=1-perf.png fc(16)-Tanhshrink-dropout=0-batchnorm=0-confusion-learn.png fc(16)-Tanhshrink-dropout=0-batchnorm=0-confusion-test.png fc(16)-Tanhshrink-dropout=0-batchnorm=0-loss-2.png fc(16)-Tanhshrink-dropout=0-batchnorm=0-loss.png fc(16)-Tanhshrink-dropout=0-batchnorm=0-perf.png fc(16)-Tanhshrink-dropout=0-batchnorm=1-confusion-learn.png fc(16)-Tanhshrink-dropout=0-batchnorm=1-confusion-test.png fc(16)-Tanhshrink-dropout=0-batchnorm=1-loss-2.png fc(16)-Tanhshrink-dropout=0-batchnorm=1-loss.png fc(16)-Tanhshrink-dropout=0-batchnorm=1-perf.png fc(16)-Tanhshrink-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-Tanhshrink-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-Tanhshrink-dropout=0.5-batchnorm=0-loss-2.png fc(16)-Tanhshrink-dropout=0.5-batchnorm=0-loss.png fc(16)-Tanhshrink-dropout=0.5-batchnorm=0-perf.png fc(16)-Tanhshrink-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-Tanhshrink-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-Tanhshrink-dropout=0.5-batchnorm=1-loss-2.png fc(16)-Tanhshrink-dropout=0.5-batchnorm=1-loss.png fc(16)-Tanhshrink-dropout=0.5-batchnorm=1-perf.png fc(16)-abs-dropout=0-batchnorm=0-confusion-learn.png fc(16)-abs-dropout=0-batchnorm=0-confusion-test.png fc(16)-abs-dropout=0-batchnorm=0-loss-2.png fc(16)-abs-dropout=0-batchnorm=0-loss.png fc(16)-abs-dropout=0-batchnorm=0-perf.png fc(16)-abs-dropout=0-batchnorm=1-confusion-learn.png fc(16)-abs-dropout=0-batchnorm=1-confusion-test.png fc(16)-abs-dropout=0-batchnorm=1-loss-2.png fc(16)-abs-dropout=0-batchnorm=1-loss.png fc(16)-abs-dropout=0-batchnorm=1-perf.png fc(16)-abs-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-abs-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-abs-dropout=0.5-batchnorm=0-loss-2.png fc(16)-abs-dropout=0.5-batchnorm=0-loss.png fc(16)-abs-dropout=0.5-batchnorm=0-perf.png fc(16)-abs-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-abs-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-abs-dropout=0.5-batchnorm=1-loss-2.png fc(16)-abs-dropout=0.5-batchnorm=1-loss.png fc(16)-abs-dropout=0.5-batchnorm=1-perf.png fc(16)-atan-dropout=0-batchnorm=0-confusion-learn.png fc(16)-atan-dropout=0-batchnorm=0-confusion-test.png fc(16)-atan-dropout=0-batchnorm=0-loss-2.png fc(16)-atan-dropout=0-batchnorm=0-loss.png fc(16)-atan-dropout=0-batchnorm=0-perf.png fc(16)-atan-dropout=0-batchnorm=0.h5 fc(16)-atan-dropout=0-batchnorm=1-confusion-learn.png fc(16)-atan-dropout=0-batchnorm=1-confusion-test.png fc(16)-atan-dropout=0-batchnorm=1-loss-2.png fc(16)-atan-dropout=0-batchnorm=1-loss.png fc(16)-atan-dropout=0-batchnorm=1-perf.png fc(16)-atan-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-atan-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-atan-dropout=0.5-batchnorm=0-loss-2.png fc(16)-atan-dropout=0.5-batchnorm=0-loss.png fc(16)-atan-dropout=0.5-batchnorm=0-perf.png fc(16)-atan-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-atan-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-atan-dropout=0.5-batchnorm=1-loss-2.png fc(16)-atan-dropout=0.5-batchnorm=1-loss.png fc(16)-atan-dropout=0.5-batchnorm=1-perf.png fc(16)-cantor-dropout=0-batchnorm=0-confusion-learn.png fc(16)-cantor-dropout=0-batchnorm=0-confusion-test.png fc(16)-cantor-dropout=0-batchnorm=0-loss-2.png fc(16)-cantor-dropout=0-batchnorm=0-loss.png fc(16)-cantor-dropout=0-batchnorm=0-perf.png fc(16)-cantor-dropout=0-batchnorm=0.h5 fc(16)-cantor-dropout=0-batchnorm=1-confusion-learn.png fc(16)-cantor-dropout=0-batchnorm=1-confusion-test.png fc(16)-cantor-dropout=0-batchnorm=1-loss-2.png fc(16)-cantor-dropout=0-batchnorm=1-loss.png fc(16)-cantor-dropout=0-batchnorm=1-perf.png fc(16)-cantor-dropout=0-batchnorm=1.h5 fc(16)-cantor-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-cantor-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-cantor-dropout=0.5-batchnorm=0-loss-2.png fc(16)-cantor-dropout=0.5-batchnorm=0-loss.png fc(16)-cantor-dropout=0.5-batchnorm=0-perf.png fc(16)-cantor-dropout=0.5-batchnorm=0.h5 fc(16)-cantor-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-cantor-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-cantor-dropout=0.5-batchnorm=1-loss-2.png fc(16)-cantor-dropout=0.5-batchnorm=1-loss.png fc(16)-cantor-dropout=0.5-batchnorm=1-perf.png fc(16)-cantor-dropout=0.5-batchnorm=1.h5 fc(16)-exp-dropout=0-batchnorm=0-confusion-learn.png fc(16)-exp-dropout=0-batchnorm=0-confusion-test.png fc(16)-exp-dropout=0-batchnorm=0-loss-2.png fc(16)-exp-dropout=0-batchnorm=0-loss.png fc(16)-exp-dropout=0-batchnorm=0-perf.png fc(16)-exp-dropout=0-batchnorm=0.h5 fc(16)-exp-dropout=0-batchnorm=1-confusion-learn.png fc(16)-exp-dropout=0-batchnorm=1-confusion-test.png fc(16)-exp-dropout=0-batchnorm=1-loss-2.png fc(16)-exp-dropout=0-batchnorm=1-loss.png fc(16)-exp-dropout=0-batchnorm=1-perf.png fc(16)-exp-dropout=0-batchnorm=1.h5 fc(16)-exp-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-exp-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-exp-dropout=0.5-batchnorm=0-loss-2.png fc(16)-exp-dropout=0.5-batchnorm=0-loss.png fc(16)-exp-dropout=0.5-batchnorm=0-perf.png fc(16)-exp-dropout=0.5-batchnorm=0.h5 fc(16)-exp-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-exp-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-exp-dropout=0.5-batchnorm=1-loss-2.png fc(16)-exp-dropout=0.5-batchnorm=1-loss.png fc(16)-exp-dropout=0.5-batchnorm=1-perf.png fc(16)-exp_other_lr-dropout=0-batchnorm=0-confusion-learn.png fc(16)-exp_other_lr-dropout=0-batchnorm=0-confusion-test.png fc(16)-exp_other_lr-dropout=0-batchnorm=0-loss-2.png fc(16)-exp_other_lr-dropout=0-batchnorm=0-loss.png fc(16)-exp_other_lr-dropout=0-batchnorm=0-perf.png fc(16)-exp_other_lr-dropout=0-batchnorm=1-confusion-learn.png fc(16)-exp_other_lr-dropout=0-batchnorm=1-confusion-test.png fc(16)-exp_other_lr-dropout=0-batchnorm=1-loss-2.png fc(16)-exp_other_lr-dropout=0-batchnorm=1-loss.png fc(16)-exp_other_lr-dropout=0-batchnorm=1-perf.png fc(16)-exp_other_lr-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-exp_other_lr-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-exp_other_lr-dropout=0.5-batchnorm=0-loss-2.png fc(16)-exp_other_lr-dropout=0.5-batchnorm=0-loss.png fc(16)-exp_other_lr-dropout=0.5-batchnorm=0-perf.png fc(16)-exp_other_lr-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-exp_other_lr-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-exp_other_lr-dropout=0.5-batchnorm=1-loss-2.png fc(16)-exp_other_lr-dropout=0.5-batchnorm=1-loss.png fc(16)-exp_other_lr-dropout=0.5-batchnorm=1-perf.png fc(16)-log-dropout=0-batchnorm=0-confusion-learn.png fc(16)-log-dropout=0-batchnorm=0-confusion-test.png fc(16)-log-dropout=0-batchnorm=0-loss-2.png fc(16)-log-dropout=0-batchnorm=0-loss.png fc(16)-log-dropout=0-batchnorm=0-perf.png fc(16)-log-dropout=0-batchnorm=0.h5 fc(16)-log-dropout=0-batchnorm=1-confusion-learn.png fc(16)-log-dropout=0-batchnorm=1-confusion-test.png fc(16)-log-dropout=0-batchnorm=1-loss-2.png fc(16)-log-dropout=0-batchnorm=1-loss.png fc(16)-log-dropout=0-batchnorm=1-perf.png fc(16)-log-dropout=0-batchnorm=1.h5 fc(16)-log-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-log-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-log-dropout=0.5-batchnorm=0-loss-2.png fc(16)-log-dropout=0.5-batchnorm=0-loss.png fc(16)-log-dropout=0.5-batchnorm=0-perf.png fc(16)-log-dropout=0.5-batchnorm=0.h5 fc(16)-log-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-log-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-log-dropout=0.5-batchnorm=1-loss-2.png fc(16)-log-dropout=0.5-batchnorm=1-loss.png fc(16)-log-dropout=0.5-batchnorm=1-perf.png fc(16)-log-dropout=0.5-batchnorm=1.h5 fc(16)-log_abs-dropout=0-batchnorm=0-confusion-learn.png fc(16)-log_abs-dropout=0-batchnorm=0-confusion-test.png fc(16)-log_abs-dropout=0-batchnorm=0-loss-2.png fc(16)-log_abs-dropout=0-batchnorm=0-loss.png fc(16)-log_abs-dropout=0-batchnorm=0-perf.png fc(16)-log_abs-dropout=0-batchnorm=0.h5 fc(16)-log_abs-dropout=0-batchnorm=1-confusion-learn.png fc(16)-log_abs-dropout=0-batchnorm=1-confusion-test.png fc(16)-log_abs-dropout=0-batchnorm=1-loss-2.png fc(16)-log_abs-dropout=0-batchnorm=1-loss.png fc(16)-log_abs-dropout=0-batchnorm=1-perf.png fc(16)-log_abs-dropout=0-batchnorm=1.h5 fc(16)-log_abs-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-log_abs-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-log_abs-dropout=0.5-batchnorm=0-loss-2.png fc(16)-log_abs-dropout=0.5-batchnorm=0-loss.png fc(16)-log_abs-dropout=0.5-batchnorm=0-perf.png fc(16)-log_abs-dropout=0.5-batchnorm=0.h5 fc(16)-log_abs-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-log_abs-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-log_abs-dropout=0.5-batchnorm=1-loss-2.png fc(16)-log_abs-dropout=0.5-batchnorm=1-loss.png fc(16)-log_abs-dropout=0.5-batchnorm=1-perf.png fc(16)-sigmoid-dropout=0-batchnorm=0-confusion-learn.png fc(16)-sigmoid-dropout=0-batchnorm=0-confusion-test.png fc(16)-sigmoid-dropout=0-batchnorm=0-loss-2.png fc(16)-sigmoid-dropout=0-batchnorm=0-loss.png fc(16)-sigmoid-dropout=0-batchnorm=0-perf.png fc(16)-sigmoid-dropout=0-batchnorm=0.h5 fc(16)-sigmoid-dropout=0-batchnorm=1-confusion-learn.png fc(16)-sigmoid-dropout=0-batchnorm=1-confusion-test.png fc(16)-sigmoid-dropout=0-batchnorm=1-loss-2.png fc(16)-sigmoid-dropout=0-batchnorm=1-loss.png fc(16)-sigmoid-dropout=0-batchnorm=1-perf.png fc(16)-sigmoid-dropout=0-batchnorm=1.h5 fc(16)-sigmoid-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-sigmoid-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-sigmoid-dropout=0.5-batchnorm=0-loss-2.png fc(16)-sigmoid-dropout=0.5-batchnorm=0-loss.png fc(16)-sigmoid-dropout=0.5-batchnorm=0-perf.png fc(16)-sigmoid-dropout=0.5-batchnorm=0.h5 fc(16)-sigmoid-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-sigmoid-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-sigmoid-dropout=0.5-batchnorm=1-loss-2.png fc(16)-sigmoid-dropout=0.5-batchnorm=1-loss.png fc(16)-sigmoid-dropout=0.5-batchnorm=1-perf.png fc(16)-sin(πx)-dropout=0-batchnorm=0-confusion-learn.png fc(16)-sin(πx)-dropout=0-batchnorm=0-confusion-test.png fc(16)-sin(πx)-dropout=0-batchnorm=0-loss-2.png fc(16)-sin(πx)-dropout=0-batchnorm=0-loss.png fc(16)-sin(πx)-dropout=0-batchnorm=0-perf.png fc(16)-sin(πx)-dropout=0-batchnorm=1-confusion-learn.png fc(16)-sin(πx)-dropout=0-batchnorm=1-confusion-test.png fc(16)-sin(πx)-dropout=0-batchnorm=1-loss-2.png fc(16)-sin(πx)-dropout=0-batchnorm=1-loss.png fc(16)-sin(πx)-dropout=0-batchnorm=1-perf.png fc(16)-sin(πx)-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-sin(πx)-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-sin(πx)-dropout=0.5-batchnorm=0-loss-2.png fc(16)-sin(πx)-dropout=0.5-batchnorm=0-loss.png fc(16)-sin(πx)-dropout=0.5-batchnorm=0-perf.png fc(16)-sin(πx)-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-sin(πx)-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-sin(πx)-dropout=0.5-batchnorm=1-loss-2.png fc(16)-sin(πx)-dropout=0.5-batchnorm=1-loss.png fc(16)-sin(πx)-dropout=0.5-batchnorm=1-perf.png fc(16)-sin-dropout=0-batchnorm=0-confusion-learn.png fc(16)-sin-dropout=0-batchnorm=0-confusion-test.png fc(16)-sin-dropout=0-batchnorm=0-loss-2.png fc(16)-sin-dropout=0-batchnorm=0-loss.png fc(16)-sin-dropout=0-batchnorm=0-perf.png fc(16)-sin-dropout=0-batchnorm=1-confusion-learn.png fc(16)-sin-dropout=0-batchnorm=1-confusion-test.png fc(16)-sin-dropout=0-batchnorm=1-loss-2.png fc(16)-sin-dropout=0-batchnorm=1-loss.png fc(16)-sin-dropout=0-batchnorm=1-perf.png fc(16)-sin-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-sin-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-sin-dropout=0.5-batchnorm=0-loss-2.png fc(16)-sin-dropout=0.5-batchnorm=0-loss.png fc(16)-sin-dropout=0.5-batchnorm=0-perf.png fc(16)-sin-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-sin-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-sin-dropout=0.5-batchnorm=1-loss-2.png fc(16)-sin-dropout=0.5-batchnorm=1-loss.png fc(16)-sin-dropout=0.5-batchnorm=1-perf.png fc(16)-sin_other_lr-dropout=0-batchnorm=0-confusion-learn.png fc(16)-sin_other_lr-dropout=0-batchnorm=0-confusion-test.png fc(16)-sin_other_lr-dropout=0-batchnorm=0-loss-2.png fc(16)-sin_other_lr-dropout=0-batchnorm=0-loss.png fc(16)-sin_other_lr-dropout=0-batchnorm=0-perf.png fc(16)-sin_other_lr-dropout=0-batchnorm=1-confusion-learn.png fc(16)-sin_other_lr-dropout=0-batchnorm=1-confusion-test.png fc(16)-sin_other_lr-dropout=0-batchnorm=1-loss-2.png fc(16)-sin_other_lr-dropout=0-batchnorm=1-loss.png fc(16)-sin_other_lr-dropout=0-batchnorm=1-perf.png fc(16)-sin_other_lr-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-sin_other_lr-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-sin_other_lr-dropout=0.5-batchnorm=0-loss-2.png fc(16)-sin_other_lr-dropout=0.5-batchnorm=0-loss.png fc(16)-sin_other_lr-dropout=0.5-batchnorm=0-perf.png fc(16)-sin_other_lr-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-sin_other_lr-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-sin_other_lr-dropout=0.5-batchnorm=1-loss-2.png fc(16)-sin_other_lr-dropout=0.5-batchnorm=1-loss.png fc(16)-sin_other_lr-dropout=0.5-batchnorm=1-perf.png fc(16)-sinc-dropout=0-batchnorm=0-confusion-learn.png fc(16)-sinc-dropout=0-batchnorm=0-confusion-test.png fc(16)-sinc-dropout=0-batchnorm=0-loss-2.png fc(16)-sinc-dropout=0-batchnorm=0-loss.png fc(16)-sinc-dropout=0-batchnorm=0-perf.png fc(16)-sinc-dropout=0-batchnorm=1-confusion-learn.png fc(16)-sinc-dropout=0-batchnorm=1-confusion-test.png fc(16)-sinc-dropout=0-batchnorm=1-loss-2.png fc(16)-sinc-dropout=0-batchnorm=1-loss.png fc(16)-sinc-dropout=0-batchnorm=1-perf.png fc(16)-sinc-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-sinc-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-sinc-dropout=0.5-batchnorm=0-loss-2.png fc(16)-sinc-dropout=0.5-batchnorm=0-loss.png fc(16)-sinc-dropout=0.5-batchnorm=0-perf.png fc(16)-sinc-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-sinc-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-sinc-dropout=0.5-batchnorm=1-loss-2.png fc(16)-sinc-dropout=0.5-batchnorm=1-loss.png fc(16)-sinc-dropout=0.5-batchnorm=1-perf.png fc(16)-sqrt-dropout=0-batchnorm=0-confusion-learn.png fc(16)-sqrt-dropout=0-batchnorm=0-confusion-test.png fc(16)-sqrt-dropout=0-batchnorm=0-loss-2.png fc(16)-sqrt-dropout=0-batchnorm=0-loss.png fc(16)-sqrt-dropout=0-batchnorm=0-perf.png fc(16)-sqrt-dropout=0-batchnorm=0.h5 fc(16)-sqrt-dropout=0-batchnorm=1-confusion-learn.png fc(16)-sqrt-dropout=0-batchnorm=1-confusion-test.png fc(16)-sqrt-dropout=0-batchnorm=1-loss-2.png fc(16)-sqrt-dropout=0-batchnorm=1-loss.png fc(16)-sqrt-dropout=0-batchnorm=1-perf.png fc(16)-sqrt-dropout=0-batchnorm=1.h5 fc(16)-sqrt-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-sqrt-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-sqrt-dropout=0.5-batchnorm=0-loss-2.png fc(16)-sqrt-dropout=0.5-batchnorm=0-loss.png fc(16)-sqrt-dropout=0.5-batchnorm=0-perf.png fc(16)-sqrt-dropout=0.5-batchnorm=0.h5 fc(16)-sqrt-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-sqrt-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-sqrt-dropout=0.5-batchnorm=1-loss-2.png fc(16)-sqrt-dropout=0.5-batchnorm=1-loss.png fc(16)-sqrt-dropout=0.5-batchnorm=1-perf.png fc(16)-sqrt-dropout=0.5-batchnorm=1.h5 fc(16)-tan-dropout=0-batchnorm=0-confusion-learn.png fc(16)-tan-dropout=0-batchnorm=0-confusion-test.png fc(16)-tan-dropout=0-batchnorm=0-loss-2.png fc(16)-tan-dropout=0-batchnorm=0-loss.png fc(16)-tan-dropout=0-batchnorm=0-perf.png fc(16)-tan-dropout=0-batchnorm=1-confusion-learn.png fc(16)-tan-dropout=0-batchnorm=1-confusion-test.png fc(16)-tan-dropout=0-batchnorm=1-loss-2.png fc(16)-tan-dropout=0-batchnorm=1-loss.png fc(16)-tan-dropout=0-batchnorm=1-perf.png fc(16)-tan-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-tan-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-tan-dropout=0.5-batchnorm=0-loss-2.png fc(16)-tan-dropout=0.5-batchnorm=0-loss.png fc(16)-tan-dropout=0.5-batchnorm=0-perf.png fc(16)-tan-dropout=0.5-batchnorm=0.h5 fc(16)-tan-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-tan-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-tan-dropout=0.5-batchnorm=1-loss-2.png fc(16)-tan-dropout=0.5-batchnorm=1-loss.png fc(16)-tan-dropout=0.5-batchnorm=1-perf.png fc(16)-x^2-dropout=0-batchnorm=0-confusion-learn.png fc(16)-x^2-dropout=0-batchnorm=0-confusion-test.png fc(16)-x^2-dropout=0-batchnorm=0-loss-2.png fc(16)-x^2-dropout=0-batchnorm=0-loss.png fc(16)-x^2-dropout=0-batchnorm=0-perf.png fc(16)-x^2-dropout=0-batchnorm=0.h5 fc(16)-x^2-dropout=0-batchnorm=1-confusion-learn.png fc(16)-x^2-dropout=0-batchnorm=1-confusion-test.png fc(16)-x^2-dropout=0-batchnorm=1-loss-2.png fc(16)-x^2-dropout=0-batchnorm=1-loss.png fc(16)-x^2-dropout=0-batchnorm=1-perf.png fc(16)-x^2-dropout=0-batchnorm=1.h5 fc(16)-x^2-dropout=0.5-batchnorm=0-confusion-learn.png fc(16)-x^2-dropout=0.5-batchnorm=0-confusion-test.png fc(16)-x^2-dropout=0.5-batchnorm=0-loss-2.png fc(16)-x^2-dropout=0.5-batchnorm=0-loss.png fc(16)-x^2-dropout=0.5-batchnorm=0-perf.png fc(16)-x^2-dropout=0.5-batchnorm=0.h5 fc(16)-x^2-dropout=0.5-batchnorm=1-confusion-learn.png fc(16)-x^2-dropout=0.5-batchnorm=1-confusion-test.png fc(16)-x^2-dropout=0.5-batchnorm=1-loss-2.png fc(16)-x^2-dropout=0.5-batchnorm=1-loss.png fc(16)-x^2-dropout=0.5-batchnorm=1-perf.png fc(16)-x^2-dropout=0.5-batchnorm=1.h5 fc(2)-CELU-dropout=0-batchnorm=0-confusion-learn.png fc(2)-CELU-dropout=0-batchnorm=0-confusion-test.png fc(2)-CELU-dropout=0-batchnorm=0-loss-2.png fc(2)-CELU-dropout=0-batchnorm=0-loss.png fc(2)-CELU-dropout=0-batchnorm=0-perf.png fc(2)-CELU-dropout=0-batchnorm=0.h5 fc(2)-CELU-dropout=0-batchnorm=1-confusion-learn.png fc(2)-CELU-dropout=0-batchnorm=1-confusion-test.png fc(2)-CELU-dropout=0-batchnorm=1-loss-2.png fc(2)-CELU-dropout=0-batchnorm=1-loss.png fc(2)-CELU-dropout=0-batchnorm=1-perf.png fc(2)-CELU-dropout=0-batchnorm=1.h5 fc(2)-CELU-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-CELU-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-CELU-dropout=0.5-batchnorm=0-loss-2.png fc(2)-CELU-dropout=0.5-batchnorm=0-loss.png fc(2)-CELU-dropout=0.5-batchnorm=0-perf.png fc(2)-CELU-dropout=0.5-batchnorm=0.h5 fc(2)-CELU-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-CELU-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-CELU-dropout=0.5-batchnorm=1-loss-2.png fc(2)-CELU-dropout=0.5-batchnorm=1-loss.png fc(2)-CELU-dropout=0.5-batchnorm=1-perf.png fc(2)-CELU-dropout=0.5-batchnorm=1.h5 fc(2)-ELU-dropout=0-batchnorm=0-confusion-learn.png fc(2)-ELU-dropout=0-batchnorm=0-confusion-test.png fc(2)-ELU-dropout=0-batchnorm=0-loss-2.png fc(2)-ELU-dropout=0-batchnorm=0-loss.png fc(2)-ELU-dropout=0-batchnorm=0-perf.png fc(2)-ELU-dropout=0-batchnorm=0.h5 fc(2)-ELU-dropout=0-batchnorm=1-confusion-learn.png fc(2)-ELU-dropout=0-batchnorm=1-confusion-test.png fc(2)-ELU-dropout=0-batchnorm=1-loss-2.png fc(2)-ELU-dropout=0-batchnorm=1-loss.png fc(2)-ELU-dropout=0-batchnorm=1-perf.png fc(2)-ELU-dropout=0-batchnorm=1.h5 fc(2)-ELU-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-ELU-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-ELU-dropout=0.5-batchnorm=0-loss-2.png fc(2)-ELU-dropout=0.5-batchnorm=0-loss.png fc(2)-ELU-dropout=0.5-batchnorm=0-perf.png fc(2)-ELU-dropout=0.5-batchnorm=0.h5 fc(2)-ELU-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-ELU-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-ELU-dropout=0.5-batchnorm=1-loss-2.png fc(2)-ELU-dropout=0.5-batchnorm=1-loss.png fc(2)-ELU-dropout=0.5-batchnorm=1-perf.png fc(2)-ELU-dropout=0.5-batchnorm=1.h5 fc(2)-GELU-dropout=0-batchnorm=0-confusion-learn.png fc(2)-GELU-dropout=0-batchnorm=0-confusion-test.png fc(2)-GELU-dropout=0-batchnorm=0-loss-2.png fc(2)-GELU-dropout=0-batchnorm=0-loss.png fc(2)-GELU-dropout=0-batchnorm=0-perf.png fc(2)-GELU-dropout=0-batchnorm=0.h5 fc(2)-GELU-dropout=0-batchnorm=1-confusion-learn.png fc(2)-GELU-dropout=0-batchnorm=1-confusion-test.png fc(2)-GELU-dropout=0-batchnorm=1-loss-2.png fc(2)-GELU-dropout=0-batchnorm=1-loss.png fc(2)-GELU-dropout=0-batchnorm=1-perf.png fc(2)-GELU-dropout=0-batchnorm=1.h5 fc(2)-GELU-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-GELU-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-GELU-dropout=0.5-batchnorm=0-loss-2.png fc(2)-GELU-dropout=0.5-batchnorm=0-loss.png fc(2)-GELU-dropout=0.5-batchnorm=0-perf.png fc(2)-GELU-dropout=0.5-batchnorm=0.h5 fc(2)-GELU-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-GELU-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-GELU-dropout=0.5-batchnorm=1-loss-2.png fc(2)-GELU-dropout=0.5-batchnorm=1-loss.png fc(2)-GELU-dropout=0.5-batchnorm=1-perf.png fc(2)-GELU-dropout=0.5-batchnorm=1.h5 fc(2)-Hardshrink-dropout=0-batchnorm=0-confusion-learn.png fc(2)-Hardshrink-dropout=0-batchnorm=0-confusion-test.png fc(2)-Hardshrink-dropout=0-batchnorm=0-loss-2.png fc(2)-Hardshrink-dropout=0-batchnorm=0-loss.png fc(2)-Hardshrink-dropout=0-batchnorm=0-perf.png fc(2)-Hardshrink-dropout=0-batchnorm=0.h5 fc(2)-Hardshrink-dropout=0-batchnorm=1-confusion-learn.png fc(2)-Hardshrink-dropout=0-batchnorm=1-confusion-test.png fc(2)-Hardshrink-dropout=0-batchnorm=1-loss-2.png fc(2)-Hardshrink-dropout=0-batchnorm=1-loss.png fc(2)-Hardshrink-dropout=0-batchnorm=1-perf.png fc(2)-Hardshrink-dropout=0-batchnorm=1.h5 fc(2)-Hardshrink-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-Hardshrink-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-Hardshrink-dropout=0.5-batchnorm=0-loss-2.png fc(2)-Hardshrink-dropout=0.5-batchnorm=0-loss.png fc(2)-Hardshrink-dropout=0.5-batchnorm=0-perf.png fc(2)-Hardshrink-dropout=0.5-batchnorm=0.h5 fc(2)-Hardshrink-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-Hardshrink-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-Hardshrink-dropout=0.5-batchnorm=1-loss-2.png fc(2)-Hardshrink-dropout=0.5-batchnorm=1-loss.png fc(2)-Hardshrink-dropout=0.5-batchnorm=1-perf.png fc(2)-Hardshrink-dropout=0.5-batchnorm=1.h5 fc(2)-Hardsigmoid-dropout=0-batchnorm=0-confusion-learn.png fc(2)-Hardsigmoid-dropout=0-batchnorm=0-confusion-test.png fc(2)-Hardsigmoid-dropout=0-batchnorm=0-loss-2.png fc(2)-Hardsigmoid-dropout=0-batchnorm=0-loss.png fc(2)-Hardsigmoid-dropout=0-batchnorm=0-perf.png fc(2)-Hardsigmoid-dropout=0-batchnorm=0.h5 fc(2)-Hardsigmoid-dropout=0-batchnorm=1-confusion-learn.png fc(2)-Hardsigmoid-dropout=0-batchnorm=1-confusion-test.png fc(2)-Hardsigmoid-dropout=0-batchnorm=1-loss-2.png fc(2)-Hardsigmoid-dropout=0-batchnorm=1-loss.png fc(2)-Hardsigmoid-dropout=0-batchnorm=1-perf.png fc(2)-Hardsigmoid-dropout=0-batchnorm=1.h5 fc(2)-Hardsigmoid-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-Hardsigmoid-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-Hardsigmoid-dropout=0.5-batchnorm=0-loss-2.png fc(2)-Hardsigmoid-dropout=0.5-batchnorm=0-loss.png fc(2)-Hardsigmoid-dropout=0.5-batchnorm=0-perf.png fc(2)-Hardsigmoid-dropout=0.5-batchnorm=0.h5 fc(2)-Hardsigmoid-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-Hardsigmoid-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-Hardsigmoid-dropout=0.5-batchnorm=1-loss-2.png fc(2)-Hardsigmoid-dropout=0.5-batchnorm=1-loss.png fc(2)-Hardsigmoid-dropout=0.5-batchnorm=1-perf.png fc(2)-Hardsigmoid-dropout=0.5-batchnorm=1.h5 fc(2)-Hardswish-dropout=0-batchnorm=0-confusion-learn.png fc(2)-Hardswish-dropout=0-batchnorm=0-confusion-test.png fc(2)-Hardswish-dropout=0-batchnorm=0-loss-2.png fc(2)-Hardswish-dropout=0-batchnorm=0-loss.png fc(2)-Hardswish-dropout=0-batchnorm=0-perf.png fc(2)-Hardswish-dropout=0-batchnorm=0.h5 fc(2)-Hardswish-dropout=0-batchnorm=1-confusion-learn.png fc(2)-Hardswish-dropout=0-batchnorm=1-confusion-test.png fc(2)-Hardswish-dropout=0-batchnorm=1-loss-2.png fc(2)-Hardswish-dropout=0-batchnorm=1-loss.png fc(2)-Hardswish-dropout=0-batchnorm=1-perf.png fc(2)-Hardswish-dropout=0-batchnorm=1.h5 fc(2)-Hardswish-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-Hardswish-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-Hardswish-dropout=0.5-batchnorm=0-loss-2.png fc(2)-Hardswish-dropout=0.5-batchnorm=0-loss.png fc(2)-Hardswish-dropout=0.5-batchnorm=0-perf.png fc(2)-Hardswish-dropout=0.5-batchnorm=0.h5 fc(2)-Hardswish-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-Hardswish-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-Hardswish-dropout=0.5-batchnorm=1-loss-2.png fc(2)-Hardswish-dropout=0.5-batchnorm=1-loss.png fc(2)-Hardswish-dropout=0.5-batchnorm=1-perf.png fc(2)-Hardswish-dropout=0.5-batchnorm=1.h5 fc(2)-Hardtanh-dropout=0-batchnorm=0-confusion-learn.png fc(2)-Hardtanh-dropout=0-batchnorm=0-confusion-test.png fc(2)-Hardtanh-dropout=0-batchnorm=0-loss-2.png fc(2)-Hardtanh-dropout=0-batchnorm=0-loss.png fc(2)-Hardtanh-dropout=0-batchnorm=0-perf.png fc(2)-Hardtanh-dropout=0-batchnorm=0.h5 fc(2)-Hardtanh-dropout=0-batchnorm=1-confusion-learn.png fc(2)-Hardtanh-dropout=0-batchnorm=1-confusion-test.png fc(2)-Hardtanh-dropout=0-batchnorm=1-loss-2.png fc(2)-Hardtanh-dropout=0-batchnorm=1-loss.png fc(2)-Hardtanh-dropout=0-batchnorm=1-perf.png fc(2)-Hardtanh-dropout=0-batchnorm=1.h5 fc(2)-Hardtanh-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-Hardtanh-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-Hardtanh-dropout=0.5-batchnorm=0-loss-2.png fc(2)-Hardtanh-dropout=0.5-batchnorm=0-loss.png fc(2)-Hardtanh-dropout=0.5-batchnorm=0-perf.png fc(2)-Hardtanh-dropout=0.5-batchnorm=0.h5 fc(2)-Hardtanh-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-Hardtanh-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-Hardtanh-dropout=0.5-batchnorm=1-loss-2.png fc(2)-Hardtanh-dropout=0.5-batchnorm=1-loss.png fc(2)-Hardtanh-dropout=0.5-batchnorm=1-perf.png fc(2)-Hardtanh-dropout=0.5-batchnorm=1.h5 fc(2)-IdGELU-dropout=0-batchnorm=0-confusion-learn.png fc(2)-IdGELU-dropout=0-batchnorm=0-confusion-test.png fc(2)-IdGELU-dropout=0-batchnorm=0-loss-2.png fc(2)-IdGELU-dropout=0-batchnorm=0-loss.png fc(2)-IdGELU-dropout=0-batchnorm=0-perf.png fc(2)-IdGELU-dropout=0-batchnorm=0.h5 fc(2)-IdGELU-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-IdGELU-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-IdGELU-dropout=0.5-batchnorm=0-loss-2.png fc(2)-IdGELU-dropout=0.5-batchnorm=0-loss.png fc(2)-IdGELU-dropout=0.5-batchnorm=0-perf.png fc(2)-IdGELU-dropout=0.5-batchnorm=0.h5 fc(2)-IdGELUsin-dropout=0-batchnorm=0-confusion-learn.png fc(2)-IdGELUsin-dropout=0-batchnorm=0-confusion-test.png fc(2)-IdGELUsin-dropout=0-batchnorm=0-loss-2.png fc(2)-IdGELUsin-dropout=0-batchnorm=0-loss.png fc(2)-IdGELUsin-dropout=0-batchnorm=0-perf.png fc(2)-IdGELUsin-dropout=0-batchnorm=0.h5 fc(2)-IdGELUsin-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-IdGELUsin-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-IdGELUsin-dropout=0.5-batchnorm=0-loss-2.png fc(2)-IdGELUsin-dropout=0.5-batchnorm=0-loss.png fc(2)-IdGELUsin-dropout=0.5-batchnorm=0-perf.png fc(2)-IdGELUsin-dropout=0.5-batchnorm=0.h5 fc(2)-Identity-dropout=0-batchnorm=0-confusion-learn.png fc(2)-Identity-dropout=0-batchnorm=0-confusion-test.png fc(2)-Identity-dropout=0-batchnorm=0-loss-2.png fc(2)-Identity-dropout=0-batchnorm=0-loss.png fc(2)-Identity-dropout=0-batchnorm=0-perf.png fc(2)-Identity-dropout=0-batchnorm=0.h5 fc(2)-Identity-dropout=0-batchnorm=1-confusion-learn.png fc(2)-Identity-dropout=0-batchnorm=1-confusion-test.png fc(2)-Identity-dropout=0-batchnorm=1-loss-2.png fc(2)-Identity-dropout=0-batchnorm=1-loss.png fc(2)-Identity-dropout=0-batchnorm=1-perf.png fc(2)-Identity-dropout=0-batchnorm=1.h5 fc(2)-Identity-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-Identity-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-Identity-dropout=0.5-batchnorm=0-loss-2.png fc(2)-Identity-dropout=0.5-batchnorm=0-loss.png fc(2)-Identity-dropout=0.5-batchnorm=0-perf.png fc(2)-Identity-dropout=0.5-batchnorm=0.h5 fc(2)-Identity-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-Identity-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-Identity-dropout=0.5-batchnorm=1-loss-2.png fc(2)-Identity-dropout=0.5-batchnorm=1-loss.png fc(2)-Identity-dropout=0.5-batchnorm=1-perf.png fc(2)-Identity-dropout=0.5-batchnorm=1.h5 fc(2)-Idsin-dropout=0-batchnorm=0-confusion-learn.png fc(2)-Idsin-dropout=0-batchnorm=0-confusion-test.png fc(2)-Idsin-dropout=0-batchnorm=0-loss-2.png fc(2)-Idsin-dropout=0-batchnorm=0-loss.png fc(2)-Idsin-dropout=0-batchnorm=0-perf.png fc(2)-Idsin-dropout=0-batchnorm=0.h5 fc(2)-Idsin-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-Idsin-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-Idsin-dropout=0.5-batchnorm=0-loss-2.png fc(2)-Idsin-dropout=0.5-batchnorm=0-loss.png fc(2)-Idsin-dropout=0.5-batchnorm=0-perf.png fc(2)-Idsin-dropout=0.5-batchnorm=0.h5 fc(2)-LeakyReLU(0.1)-dropout=0-batchnorm=0-confusion-learn.png fc(2)-LeakyReLU(0.1)-dropout=0-batchnorm=0-confusion-test.png fc(2)-LeakyReLU(0.1)-dropout=0-batchnorm=0-loss-2.png fc(2)-LeakyReLU(0.1)-dropout=0-batchnorm=0-loss.png fc(2)-LeakyReLU(0.1)-dropout=0-batchnorm=0-perf.png fc(2)-LeakyReLU(0.1)-dropout=0-batchnorm=0.h5 fc(2)-LeakyReLU(0.1)-dropout=0-batchnorm=1-confusion-learn.png fc(2)-LeakyReLU(0.1)-dropout=0-batchnorm=1-confusion-test.png fc(2)-LeakyReLU(0.1)-dropout=0-batchnorm=1-loss-2.png fc(2)-LeakyReLU(0.1)-dropout=0-batchnorm=1-loss.png fc(2)-LeakyReLU(0.1)-dropout=0-batchnorm=1-perf.png fc(2)-LeakyReLU(0.1)-dropout=0-batchnorm=1.h5 fc(2)-LeakyReLU(0.1)-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-LeakyReLU(0.1)-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-LeakyReLU(0.1)-dropout=0.5-batchnorm=0-loss-2.png fc(2)-LeakyReLU(0.1)-dropout=0.5-batchnorm=0-loss.png fc(2)-LeakyReLU(0.1)-dropout=0.5-batchnorm=0-perf.png fc(2)-LeakyReLU(0.1)-dropout=0.5-batchnorm=0.h5 fc(2)-LeakyReLU(0.1)-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-LeakyReLU(0.1)-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-LeakyReLU(0.1)-dropout=0.5-batchnorm=1-loss-2.png fc(2)-LeakyReLU(0.1)-dropout=0.5-batchnorm=1-loss.png fc(2)-LeakyReLU(0.1)-dropout=0.5-batchnorm=1-perf.png fc(2)-LeakyReLU(0.1)-dropout=0.5-batchnorm=1.h5 fc(2)-LeakyReLU(0.5)-dropout=0-batchnorm=0-confusion-learn.png fc(2)-LeakyReLU(0.5)-dropout=0-batchnorm=0-confusion-test.png fc(2)-LeakyReLU(0.5)-dropout=0-batchnorm=0-loss-2.png fc(2)-LeakyReLU(0.5)-dropout=0-batchnorm=0-loss.png fc(2)-LeakyReLU(0.5)-dropout=0-batchnorm=0-perf.png fc(2)-LeakyReLU(0.5)-dropout=0-batchnorm=0.h5 fc(2)-LeakyReLU(0.5)-dropout=0-batchnorm=1-confusion-learn.png fc(2)-LeakyReLU(0.5)-dropout=0-batchnorm=1-confusion-test.png fc(2)-LeakyReLU(0.5)-dropout=0-batchnorm=1-loss-2.png fc(2)-LeakyReLU(0.5)-dropout=0-batchnorm=1-loss.png fc(2)-LeakyReLU(0.5)-dropout=0-batchnorm=1-perf.png fc(2)-LeakyReLU(0.5)-dropout=0-batchnorm=1.h5 fc(2)-LeakyReLU(0.5)-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-LeakyReLU(0.5)-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-LeakyReLU(0.5)-dropout=0.5-batchnorm=0-loss-2.png fc(2)-LeakyReLU(0.5)-dropout=0.5-batchnorm=0-loss.png fc(2)-LeakyReLU(0.5)-dropout=0.5-batchnorm=0-perf.png fc(2)-LeakyReLU(0.5)-dropout=0.5-batchnorm=0.h5 fc(2)-LeakyReLU(0.5)-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-LeakyReLU(0.5)-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-LeakyReLU(0.5)-dropout=0.5-batchnorm=1-loss-2.png fc(2)-LeakyReLU(0.5)-dropout=0.5-batchnorm=1-loss.png fc(2)-LeakyReLU(0.5)-dropout=0.5-batchnorm=1-perf.png fc(2)-LeakyReLU(0.5)-dropout=0.5-batchnorm=1.h5 fc(2)-LeakyReLU(5.0)-dropout=0-batchnorm=0-confusion-learn.png fc(2)-LeakyReLU(5.0)-dropout=0-batchnorm=0-confusion-test.png fc(2)-LeakyReLU(5.0)-dropout=0-batchnorm=0-loss-2.png fc(2)-LeakyReLU(5.0)-dropout=0-batchnorm=0-loss.png fc(2)-LeakyReLU(5.0)-dropout=0-batchnorm=0-perf.png fc(2)-LeakyReLU(5.0)-dropout=0-batchnorm=0.h5 fc(2)-LeakyReLU(5.0)-dropout=0-batchnorm=1-confusion-learn.png fc(2)-LeakyReLU(5.0)-dropout=0-batchnorm=1-confusion-test.png fc(2)-LeakyReLU(5.0)-dropout=0-batchnorm=1-loss-2.png fc(2)-LeakyReLU(5.0)-dropout=0-batchnorm=1-loss.png fc(2)-LeakyReLU(5.0)-dropout=0-batchnorm=1-perf.png fc(2)-LeakyReLU(5.0)-dropout=0-batchnorm=1.h5 fc(2)-LeakyReLU(5.0)-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-LeakyReLU(5.0)-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-LeakyReLU(5.0)-dropout=0.5-batchnorm=0-loss-2.png fc(2)-LeakyReLU(5.0)-dropout=0.5-batchnorm=0-loss.png fc(2)-LeakyReLU(5.0)-dropout=0.5-batchnorm=0-perf.png fc(2)-LeakyReLU(5.0)-dropout=0.5-batchnorm=0.h5 fc(2)-LeakyReLU(5.0)-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-LeakyReLU(5.0)-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-LeakyReLU(5.0)-dropout=0.5-batchnorm=1-loss-2.png fc(2)-LeakyReLU(5.0)-dropout=0.5-batchnorm=1-loss.png fc(2)-LeakyReLU(5.0)-dropout=0.5-batchnorm=1-perf.png fc(2)-LeakyReLU(5.0)-dropout=0.5-batchnorm=1.h5 fc(2)-LeakyReLU-dropout=0-batchnorm=0-confusion-learn.png fc(2)-LeakyReLU-dropout=0-batchnorm=0-confusion-test.png fc(2)-LeakyReLU-dropout=0-batchnorm=0-loss-2.png fc(2)-LeakyReLU-dropout=0-batchnorm=0-loss.png fc(2)-LeakyReLU-dropout=0-batchnorm=0-perf.png fc(2)-LeakyReLU-dropout=0-batchnorm=0.h5 fc(2)-LeakyReLU-dropout=0-batchnorm=1-confusion-learn.png fc(2)-LeakyReLU-dropout=0-batchnorm=1-confusion-test.png fc(2)-LeakyReLU-dropout=0-batchnorm=1-loss-2.png fc(2)-LeakyReLU-dropout=0-batchnorm=1-loss.png fc(2)-LeakyReLU-dropout=0-batchnorm=1-perf.png fc(2)-LeakyReLU-dropout=0-batchnorm=1.h5 fc(2)-LeakyReLU-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-LeakyReLU-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-LeakyReLU-dropout=0.5-batchnorm=0-loss-2.png fc(2)-LeakyReLU-dropout=0.5-batchnorm=0-loss.png fc(2)-LeakyReLU-dropout=0.5-batchnorm=0-perf.png fc(2)-LeakyReLU-dropout=0.5-batchnorm=0.h5 fc(2)-LeakyReLU-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-LeakyReLU-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-LeakyReLU-dropout=0.5-batchnorm=1-loss-2.png fc(2)-LeakyReLU-dropout=0.5-batchnorm=1-loss.png fc(2)-LeakyReLU-dropout=0.5-batchnorm=1-perf.png fc(2)-LeakyReLU-dropout=0.5-batchnorm=1.h5 fc(2)-LogSigmoid-dropout=0-batchnorm=0-confusion-learn.png fc(2)-LogSigmoid-dropout=0-batchnorm=0-confusion-test.png fc(2)-LogSigmoid-dropout=0-batchnorm=0-loss-2.png fc(2)-LogSigmoid-dropout=0-batchnorm=0-loss.png fc(2)-LogSigmoid-dropout=0-batchnorm=0-perf.png fc(2)-LogSigmoid-dropout=0-batchnorm=0.h5 fc(2)-LogSigmoid-dropout=0-batchnorm=1-confusion-learn.png fc(2)-LogSigmoid-dropout=0-batchnorm=1-confusion-test.png fc(2)-LogSigmoid-dropout=0-batchnorm=1-loss-2.png fc(2)-LogSigmoid-dropout=0-batchnorm=1-loss.png fc(2)-LogSigmoid-dropout=0-batchnorm=1-perf.png fc(2)-LogSigmoid-dropout=0-batchnorm=1.h5 fc(2)-LogSigmoid-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-LogSigmoid-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-LogSigmoid-dropout=0.5-batchnorm=0-loss-2.png fc(2)-LogSigmoid-dropout=0.5-batchnorm=0-loss.png fc(2)-LogSigmoid-dropout=0.5-batchnorm=0-perf.png fc(2)-LogSigmoid-dropout=0.5-batchnorm=0.h5 fc(2)-LogSigmoid-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-LogSigmoid-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-LogSigmoid-dropout=0.5-batchnorm=1-loss-2.png fc(2)-LogSigmoid-dropout=0.5-batchnorm=1-loss.png fc(2)-LogSigmoid-dropout=0.5-batchnorm=1-perf.png fc(2)-LogSigmoid-dropout=0.5-batchnorm=1.h5 fc(2)-LogSoftmax-dropout=0-batchnorm=0-confusion-learn.png fc(2)-LogSoftmax-dropout=0-batchnorm=0-confusion-test.png fc(2)-LogSoftmax-dropout=0-batchnorm=0-loss-2.png fc(2)-LogSoftmax-dropout=0-batchnorm=0-loss.png fc(2)-LogSoftmax-dropout=0-batchnorm=0-perf.png fc(2)-LogSoftmax-dropout=0-batchnorm=0.h5 fc(2)-LogSoftmax-dropout=0-batchnorm=1-confusion-learn.png fc(2)-LogSoftmax-dropout=0-batchnorm=1-confusion-test.png fc(2)-LogSoftmax-dropout=0-batchnorm=1-loss-2.png fc(2)-LogSoftmax-dropout=0-batchnorm=1-loss.png fc(2)-LogSoftmax-dropout=0-batchnorm=1-perf.png fc(2)-LogSoftmax-dropout=0-batchnorm=1.h5 fc(2)-LogSoftmax-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-LogSoftmax-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-LogSoftmax-dropout=0.5-batchnorm=0-loss-2.png fc(2)-LogSoftmax-dropout=0.5-batchnorm=0-loss.png fc(2)-LogSoftmax-dropout=0.5-batchnorm=0-perf.png fc(2)-LogSoftmax-dropout=0.5-batchnorm=0.h5 fc(2)-LogSoftmax-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-LogSoftmax-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-LogSoftmax-dropout=0.5-batchnorm=1-loss-2.png fc(2)-LogSoftmax-dropout=0.5-batchnorm=1-loss.png fc(2)-LogSoftmax-dropout=0.5-batchnorm=1-perf.png fc(2)-LogSoftmax-dropout=0.5-batchnorm=1.h5 fc(2)-Mish-dropout=0-batchnorm=0-confusion-learn.png fc(2)-Mish-dropout=0-batchnorm=0-confusion-test.png fc(2)-Mish-dropout=0-batchnorm=0-loss-2.png fc(2)-Mish-dropout=0-batchnorm=0-loss.png fc(2)-Mish-dropout=0-batchnorm=0-perf.png fc(2)-Mish-dropout=0-batchnorm=0.h5 fc(2)-Mish-dropout=0-batchnorm=1-confusion-learn.png fc(2)-Mish-dropout=0-batchnorm=1-confusion-test.png fc(2)-Mish-dropout=0-batchnorm=1-loss-2.png fc(2)-Mish-dropout=0-batchnorm=1-loss.png fc(2)-Mish-dropout=0-batchnorm=1-perf.png fc(2)-Mish-dropout=0-batchnorm=1.h5 fc(2)-Mish-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-Mish-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-Mish-dropout=0.5-batchnorm=0-loss-2.png fc(2)-Mish-dropout=0.5-batchnorm=0-loss.png fc(2)-Mish-dropout=0.5-batchnorm=0-perf.png fc(2)-Mish-dropout=0.5-batchnorm=0.h5 fc(2)-Mish-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-Mish-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-Mish-dropout=0.5-batchnorm=1-loss-2.png fc(2)-Mish-dropout=0.5-batchnorm=1-loss.png fc(2)-Mish-dropout=0.5-batchnorm=1-perf.png fc(2)-Mish-dropout=0.5-batchnorm=1.h5 fc(2)-PReLU-dropout=0-batchnorm=0-confusion-learn.png fc(2)-PReLU-dropout=0-batchnorm=0-confusion-test.png fc(2)-PReLU-dropout=0-batchnorm=0-loss-2.png fc(2)-PReLU-dropout=0-batchnorm=0-loss.png fc(2)-PReLU-dropout=0-batchnorm=0-perf.png fc(2)-PReLU-dropout=0-batchnorm=0.h5 fc(2)-PReLU-dropout=0-batchnorm=1-confusion-learn.png fc(2)-PReLU-dropout=0-batchnorm=1-confusion-test.png fc(2)-PReLU-dropout=0-batchnorm=1-loss-2.png fc(2)-PReLU-dropout=0-batchnorm=1-loss.png fc(2)-PReLU-dropout=0-batchnorm=1-perf.png fc(2)-PReLU-dropout=0-batchnorm=1.h5 fc(2)-PReLU-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-PReLU-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-PReLU-dropout=0.5-batchnorm=0-loss-2.png fc(2)-PReLU-dropout=0.5-batchnorm=0-loss.png fc(2)-PReLU-dropout=0.5-batchnorm=0-perf.png fc(2)-PReLU-dropout=0.5-batchnorm=0.h5 fc(2)-PReLU-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-PReLU-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-PReLU-dropout=0.5-batchnorm=1-loss-2.png fc(2)-PReLU-dropout=0.5-batchnorm=1-loss.png fc(2)-PReLU-dropout=0.5-batchnorm=1-perf.png fc(2)-PReLU-dropout=0.5-batchnorm=1.h5 fc(2)-RReLU-dropout=0-batchnorm=0-confusion-learn.png fc(2)-RReLU-dropout=0-batchnorm=0-confusion-test.png fc(2)-RReLU-dropout=0-batchnorm=0-loss-2.png fc(2)-RReLU-dropout=0-batchnorm=0-loss.png fc(2)-RReLU-dropout=0-batchnorm=0-perf.png fc(2)-RReLU-dropout=0-batchnorm=0.h5 fc(2)-RReLU-dropout=0-batchnorm=1-confusion-learn.png fc(2)-RReLU-dropout=0-batchnorm=1-confusion-test.png fc(2)-RReLU-dropout=0-batchnorm=1-loss-2.png fc(2)-RReLU-dropout=0-batchnorm=1-loss.png fc(2)-RReLU-dropout=0-batchnorm=1-perf.png fc(2)-RReLU-dropout=0-batchnorm=1.h5 fc(2)-RReLU-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-RReLU-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-RReLU-dropout=0.5-batchnorm=0-loss-2.png fc(2)-RReLU-dropout=0.5-batchnorm=0-loss.png fc(2)-RReLU-dropout=0.5-batchnorm=0-perf.png fc(2)-RReLU-dropout=0.5-batchnorm=0.h5 fc(2)-RReLU-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-RReLU-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-RReLU-dropout=0.5-batchnorm=1-loss-2.png fc(2)-RReLU-dropout=0.5-batchnorm=1-loss.png fc(2)-RReLU-dropout=0.5-batchnorm=1-perf.png fc(2)-RReLU-dropout=0.5-batchnorm=1.h5 fc(2)-ReLU-dropout=0-batchnorm=0-confusion-learn.png fc(2)-ReLU-dropout=0-batchnorm=0-confusion-test.png fc(2)-ReLU-dropout=0-batchnorm=0-loss-2.png fc(2)-ReLU-dropout=0-batchnorm=0-loss.png fc(2)-ReLU-dropout=0-batchnorm=0-perf.png fc(2)-ReLU-dropout=0-batchnorm=0.h5 fc(2)-ReLU-dropout=0-batchnorm=1-confusion-learn.png fc(2)-ReLU-dropout=0-batchnorm=1-confusion-test.png fc(2)-ReLU-dropout=0-batchnorm=1-loss-2.png fc(2)-ReLU-dropout=0-batchnorm=1-loss.png fc(2)-ReLU-dropout=0-batchnorm=1-perf.png fc(2)-ReLU-dropout=0-batchnorm=1.h5 fc(2)-ReLU-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-ReLU-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-ReLU-dropout=0.5-batchnorm=0-loss-2.png fc(2)-ReLU-dropout=0.5-batchnorm=0-loss.png fc(2)-ReLU-dropout=0.5-batchnorm=0-perf.png fc(2)-ReLU-dropout=0.5-batchnorm=0.h5 fc(2)-ReLU-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-ReLU-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-ReLU-dropout=0.5-batchnorm=1-loss-2.png fc(2)-ReLU-dropout=0.5-batchnorm=1-loss.png fc(2)-ReLU-dropout=0.5-batchnorm=1-perf.png fc(2)-ReLU-dropout=0.5-batchnorm=1.h5 fc(2)-SELU-dropout=0-batchnorm=0-confusion-learn.png fc(2)-SELU-dropout=0-batchnorm=0-confusion-test.png fc(2)-SELU-dropout=0-batchnorm=0-loss-2.png fc(2)-SELU-dropout=0-batchnorm=0-loss.png fc(2)-SELU-dropout=0-batchnorm=0-perf.png fc(2)-SELU-dropout=0-batchnorm=0.h5 fc(2)-SELU-dropout=0-batchnorm=1-confusion-learn.png fc(2)-SELU-dropout=0-batchnorm=1-confusion-test.png fc(2)-SELU-dropout=0-batchnorm=1-loss-2.png fc(2)-SELU-dropout=0-batchnorm=1-loss.png fc(2)-SELU-dropout=0-batchnorm=1-perf.png fc(2)-SELU-dropout=0-batchnorm=1.h5 fc(2)-SELU-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-SELU-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-SELU-dropout=0.5-batchnorm=0-loss-2.png fc(2)-SELU-dropout=0.5-batchnorm=0-loss.png fc(2)-SELU-dropout=0.5-batchnorm=0-perf.png fc(2)-SELU-dropout=0.5-batchnorm=0.h5 fc(2)-SELU-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-SELU-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-SELU-dropout=0.5-batchnorm=1-loss-2.png fc(2)-SELU-dropout=0.5-batchnorm=1-loss.png fc(2)-SELU-dropout=0.5-batchnorm=1-perf.png fc(2)-SELU-dropout=0.5-batchnorm=1.h5 fc(2)-SiLU-dropout=0-batchnorm=0-confusion-learn.png fc(2)-SiLU-dropout=0-batchnorm=0-confusion-test.png fc(2)-SiLU-dropout=0-batchnorm=0-loss-2.png fc(2)-SiLU-dropout=0-batchnorm=0-loss.png fc(2)-SiLU-dropout=0-batchnorm=0-perf.png fc(2)-SiLU-dropout=0-batchnorm=0.h5 fc(2)-SiLU-dropout=0-batchnorm=1-confusion-learn.png fc(2)-SiLU-dropout=0-batchnorm=1-confusion-test.png fc(2)-SiLU-dropout=0-batchnorm=1-loss-2.png fc(2)-SiLU-dropout=0-batchnorm=1-loss.png fc(2)-SiLU-dropout=0-batchnorm=1-perf.png fc(2)-SiLU-dropout=0-batchnorm=1.h5 fc(2)-SiLU-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-SiLU-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-SiLU-dropout=0.5-batchnorm=0-loss-2.png fc(2)-SiLU-dropout=0.5-batchnorm=0-loss.png fc(2)-SiLU-dropout=0.5-batchnorm=0-perf.png fc(2)-SiLU-dropout=0.5-batchnorm=0.h5 fc(2)-SiLU-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-SiLU-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-SiLU-dropout=0.5-batchnorm=1-loss-2.png fc(2)-SiLU-dropout=0.5-batchnorm=1-loss.png fc(2)-SiLU-dropout=0.5-batchnorm=1-perf.png fc(2)-SiLU-dropout=0.5-batchnorm=1.h5 fc(2)-Softmax-dropout=0-batchnorm=0-confusion-learn.png fc(2)-Softmax-dropout=0-batchnorm=0-confusion-test.png fc(2)-Softmax-dropout=0-batchnorm=0-loss-2.png fc(2)-Softmax-dropout=0-batchnorm=0-loss.png fc(2)-Softmax-dropout=0-batchnorm=0-perf.png fc(2)-Softmax-dropout=0-batchnorm=0.h5 fc(2)-Softmax-dropout=0-batchnorm=1-confusion-learn.png fc(2)-Softmax-dropout=0-batchnorm=1-confusion-test.png fc(2)-Softmax-dropout=0-batchnorm=1-loss-2.png fc(2)-Softmax-dropout=0-batchnorm=1-loss.png fc(2)-Softmax-dropout=0-batchnorm=1-perf.png fc(2)-Softmax-dropout=0-batchnorm=1.h5 fc(2)-Softmax-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-Softmax-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-Softmax-dropout=0.5-batchnorm=0-loss-2.png fc(2)-Softmax-dropout=0.5-batchnorm=0-loss.png fc(2)-Softmax-dropout=0.5-batchnorm=0-perf.png fc(2)-Softmax-dropout=0.5-batchnorm=0.h5 fc(2)-Softmax-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-Softmax-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-Softmax-dropout=0.5-batchnorm=1-loss-2.png fc(2)-Softmax-dropout=0.5-batchnorm=1-loss.png fc(2)-Softmax-dropout=0.5-batchnorm=1-perf.png fc(2)-Softmax-dropout=0.5-batchnorm=1.h5 fc(2)-Softmin-dropout=0-batchnorm=0-confusion-learn.png fc(2)-Softmin-dropout=0-batchnorm=0-confusion-test.png fc(2)-Softmin-dropout=0-batchnorm=0-loss-2.png fc(2)-Softmin-dropout=0-batchnorm=0-loss.png fc(2)-Softmin-dropout=0-batchnorm=0-perf.png fc(2)-Softmin-dropout=0-batchnorm=0.h5 fc(2)-Softmin-dropout=0-batchnorm=1-confusion-learn.png fc(2)-Softmin-dropout=0-batchnorm=1-confusion-test.png fc(2)-Softmin-dropout=0-batchnorm=1-loss-2.png fc(2)-Softmin-dropout=0-batchnorm=1-loss.png fc(2)-Softmin-dropout=0-batchnorm=1-perf.png fc(2)-Softmin-dropout=0-batchnorm=1.h5 fc(2)-Softmin-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-Softmin-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-Softmin-dropout=0.5-batchnorm=0-loss-2.png fc(2)-Softmin-dropout=0.5-batchnorm=0-loss.png fc(2)-Softmin-dropout=0.5-batchnorm=0-perf.png fc(2)-Softmin-dropout=0.5-batchnorm=0.h5 fc(2)-Softmin-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-Softmin-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-Softmin-dropout=0.5-batchnorm=1-loss-2.png fc(2)-Softmin-dropout=0.5-batchnorm=1-loss.png fc(2)-Softmin-dropout=0.5-batchnorm=1-perf.png fc(2)-Softmin-dropout=0.5-batchnorm=1.h5 fc(2)-Softplus-dropout=0-batchnorm=0-confusion-learn.png fc(2)-Softplus-dropout=0-batchnorm=0-confusion-test.png fc(2)-Softplus-dropout=0-batchnorm=0-loss-2.png fc(2)-Softplus-dropout=0-batchnorm=0-loss.png fc(2)-Softplus-dropout=0-batchnorm=0-perf.png fc(2)-Softplus-dropout=0-batchnorm=0.h5 fc(2)-Softplus-dropout=0-batchnorm=1-confusion-learn.png fc(2)-Softplus-dropout=0-batchnorm=1-confusion-test.png fc(2)-Softplus-dropout=0-batchnorm=1-loss-2.png fc(2)-Softplus-dropout=0-batchnorm=1-loss.png fc(2)-Softplus-dropout=0-batchnorm=1-perf.png fc(2)-Softplus-dropout=0-batchnorm=1.h5 fc(2)-Softplus-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-Softplus-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-Softplus-dropout=0.5-batchnorm=0-loss-2.png fc(2)-Softplus-dropout=0.5-batchnorm=0-loss.png fc(2)-Softplus-dropout=0.5-batchnorm=0-perf.png fc(2)-Softplus-dropout=0.5-batchnorm=0.h5 fc(2)-Softplus-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-Softplus-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-Softplus-dropout=0.5-batchnorm=1-loss-2.png fc(2)-Softplus-dropout=0.5-batchnorm=1-loss.png fc(2)-Softplus-dropout=0.5-batchnorm=1-perf.png fc(2)-Softplus-dropout=0.5-batchnorm=1.h5 fc(2)-Softshrink-dropout=0-batchnorm=0-confusion-learn.png fc(2)-Softshrink-dropout=0-batchnorm=0-confusion-test.png fc(2)-Softshrink-dropout=0-batchnorm=0-loss-2.png fc(2)-Softshrink-dropout=0-batchnorm=0-loss.png fc(2)-Softshrink-dropout=0-batchnorm=0-perf.png fc(2)-Softshrink-dropout=0-batchnorm=0.h5 fc(2)-Softshrink-dropout=0-batchnorm=1-confusion-learn.png fc(2)-Softshrink-dropout=0-batchnorm=1-confusion-test.png fc(2)-Softshrink-dropout=0-batchnorm=1-loss-2.png fc(2)-Softshrink-dropout=0-batchnorm=1-loss.png fc(2)-Softshrink-dropout=0-batchnorm=1-perf.png fc(2)-Softshrink-dropout=0-batchnorm=1.h5 fc(2)-Softshrink-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-Softshrink-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-Softshrink-dropout=0.5-batchnorm=0-loss-2.png fc(2)-Softshrink-dropout=0.5-batchnorm=0-loss.png fc(2)-Softshrink-dropout=0.5-batchnorm=0-perf.png fc(2)-Softshrink-dropout=0.5-batchnorm=0.h5 fc(2)-Softshrink-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-Softshrink-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-Softshrink-dropout=0.5-batchnorm=1-loss-2.png fc(2)-Softshrink-dropout=0.5-batchnorm=1-loss.png fc(2)-Softshrink-dropout=0.5-batchnorm=1-perf.png fc(2)-Softshrink-dropout=0.5-batchnorm=1.h5 fc(2)-Softsign-dropout=0-batchnorm=0-confusion-learn.png fc(2)-Softsign-dropout=0-batchnorm=0-confusion-test.png fc(2)-Softsign-dropout=0-batchnorm=0-loss-2.png fc(2)-Softsign-dropout=0-batchnorm=0-loss.png fc(2)-Softsign-dropout=0-batchnorm=0-perf.png fc(2)-Softsign-dropout=0-batchnorm=0.h5 fc(2)-Softsign-dropout=0-batchnorm=1-confusion-learn.png fc(2)-Softsign-dropout=0-batchnorm=1-confusion-test.png fc(2)-Softsign-dropout=0-batchnorm=1-loss-2.png fc(2)-Softsign-dropout=0-batchnorm=1-loss.png fc(2)-Softsign-dropout=0-batchnorm=1-perf.png fc(2)-Softsign-dropout=0-batchnorm=1.h5 fc(2)-Softsign-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-Softsign-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-Softsign-dropout=0.5-batchnorm=0-loss-2.png fc(2)-Softsign-dropout=0.5-batchnorm=0-loss.png fc(2)-Softsign-dropout=0.5-batchnorm=0-perf.png fc(2)-Softsign-dropout=0.5-batchnorm=0.h5 fc(2)-Softsign-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-Softsign-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-Softsign-dropout=0.5-batchnorm=1-loss-2.png fc(2)-Softsign-dropout=0.5-batchnorm=1-loss.png fc(2)-Softsign-dropout=0.5-batchnorm=1-perf.png fc(2)-Softsign-dropout=0.5-batchnorm=1.h5 fc(2)-Tanh-dropout=0-batchnorm=0-confusion-learn.png fc(2)-Tanh-dropout=0-batchnorm=0-confusion-test.png fc(2)-Tanh-dropout=0-batchnorm=0-loss-2.png fc(2)-Tanh-dropout=0-batchnorm=0-loss.png fc(2)-Tanh-dropout=0-batchnorm=0-perf.png fc(2)-Tanh-dropout=0-batchnorm=0.h5 fc(2)-Tanh-dropout=0-batchnorm=1-confusion-learn.png fc(2)-Tanh-dropout=0-batchnorm=1-confusion-test.png fc(2)-Tanh-dropout=0-batchnorm=1-loss-2.png fc(2)-Tanh-dropout=0-batchnorm=1-loss.png fc(2)-Tanh-dropout=0-batchnorm=1-perf.png fc(2)-Tanh-dropout=0-batchnorm=1.h5 fc(2)-Tanh-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-Tanh-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-Tanh-dropout=0.5-batchnorm=0-loss-2.png fc(2)-Tanh-dropout=0.5-batchnorm=0-loss.png fc(2)-Tanh-dropout=0.5-batchnorm=0-perf.png fc(2)-Tanh-dropout=0.5-batchnorm=0.h5 fc(2)-Tanh-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-Tanh-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-Tanh-dropout=0.5-batchnorm=1-loss-2.png fc(2)-Tanh-dropout=0.5-batchnorm=1-loss.png fc(2)-Tanh-dropout=0.5-batchnorm=1-perf.png fc(2)-Tanh-dropout=0.5-batchnorm=1.h5 fc(2)-Tanhshrink-dropout=0-batchnorm=0-confusion-learn.png fc(2)-Tanhshrink-dropout=0-batchnorm=0-confusion-test.png fc(2)-Tanhshrink-dropout=0-batchnorm=0-loss-2.png fc(2)-Tanhshrink-dropout=0-batchnorm=0-loss.png fc(2)-Tanhshrink-dropout=0-batchnorm=0-perf.png fc(2)-Tanhshrink-dropout=0-batchnorm=0.h5 fc(2)-Tanhshrink-dropout=0-batchnorm=1-confusion-learn.png fc(2)-Tanhshrink-dropout=0-batchnorm=1-confusion-test.png fc(2)-Tanhshrink-dropout=0-batchnorm=1-loss-2.png fc(2)-Tanhshrink-dropout=0-batchnorm=1-loss.png fc(2)-Tanhshrink-dropout=0-batchnorm=1-perf.png fc(2)-Tanhshrink-dropout=0-batchnorm=1.h5 fc(2)-Tanhshrink-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-Tanhshrink-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-Tanhshrink-dropout=0.5-batchnorm=0-loss-2.png fc(2)-Tanhshrink-dropout=0.5-batchnorm=0-loss.png fc(2)-Tanhshrink-dropout=0.5-batchnorm=0-perf.png fc(2)-Tanhshrink-dropout=0.5-batchnorm=0.h5 fc(2)-Tanhshrink-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-Tanhshrink-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-Tanhshrink-dropout=0.5-batchnorm=1-loss-2.png fc(2)-Tanhshrink-dropout=0.5-batchnorm=1-loss.png fc(2)-Tanhshrink-dropout=0.5-batchnorm=1-perf.png fc(2)-Tanhshrink-dropout=0.5-batchnorm=1.h5 fc(2)-abs-dropout=0-batchnorm=0-confusion-learn.png fc(2)-abs-dropout=0-batchnorm=0-confusion-test.png fc(2)-abs-dropout=0-batchnorm=0-loss-2.png fc(2)-abs-dropout=0-batchnorm=0-loss.png fc(2)-abs-dropout=0-batchnorm=0-perf.png fc(2)-abs-dropout=0-batchnorm=0.h5 fc(2)-abs-dropout=0-batchnorm=1-confusion-learn.png fc(2)-abs-dropout=0-batchnorm=1-confusion-test.png fc(2)-abs-dropout=0-batchnorm=1-loss-2.png fc(2)-abs-dropout=0-batchnorm=1-loss.png fc(2)-abs-dropout=0-batchnorm=1-perf.png fc(2)-abs-dropout=0-batchnorm=1.h5 fc(2)-abs-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-abs-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-abs-dropout=0.5-batchnorm=0-loss-2.png fc(2)-abs-dropout=0.5-batchnorm=0-loss.png fc(2)-abs-dropout=0.5-batchnorm=0-perf.png fc(2)-abs-dropout=0.5-batchnorm=0.h5 fc(2)-abs-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-abs-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-abs-dropout=0.5-batchnorm=1-loss-2.png fc(2)-abs-dropout=0.5-batchnorm=1-loss.png fc(2)-abs-dropout=0.5-batchnorm=1-perf.png fc(2)-abs-dropout=0.5-batchnorm=1.h5 fc(2)-atan-dropout=0-batchnorm=0-confusion-learn.png fc(2)-atan-dropout=0-batchnorm=0-confusion-test.png fc(2)-atan-dropout=0-batchnorm=0-loss-2.png fc(2)-atan-dropout=0-batchnorm=0-loss.png fc(2)-atan-dropout=0-batchnorm=0-perf.png fc(2)-atan-dropout=0-batchnorm=0.h5 fc(2)-atan-dropout=0-batchnorm=1-confusion-learn.png fc(2)-atan-dropout=0-batchnorm=1-confusion-test.png fc(2)-atan-dropout=0-batchnorm=1-loss-2.png fc(2)-atan-dropout=0-batchnorm=1-loss.png fc(2)-atan-dropout=0-batchnorm=1-perf.png fc(2)-atan-dropout=0-batchnorm=1.h5 fc(2)-atan-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-atan-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-atan-dropout=0.5-batchnorm=0-loss-2.png fc(2)-atan-dropout=0.5-batchnorm=0-loss.png fc(2)-atan-dropout=0.5-batchnorm=0-perf.png fc(2)-atan-dropout=0.5-batchnorm=0.h5 fc(2)-atan-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-atan-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-atan-dropout=0.5-batchnorm=1-loss-2.png fc(2)-atan-dropout=0.5-batchnorm=1-loss.png fc(2)-atan-dropout=0.5-batchnorm=1-perf.png fc(2)-atan-dropout=0.5-batchnorm=1.h5 fc(2)-cantor-dropout=0-batchnorm=0-confusion-learn.png fc(2)-cantor-dropout=0-batchnorm=0-confusion-test.png fc(2)-cantor-dropout=0-batchnorm=0-loss-2.png fc(2)-cantor-dropout=0-batchnorm=0-loss.png fc(2)-cantor-dropout=0-batchnorm=0-perf.png fc(2)-cantor-dropout=0-batchnorm=0.h5 fc(2)-cantor-dropout=0-batchnorm=1-confusion-learn.png fc(2)-cantor-dropout=0-batchnorm=1-confusion-test.png fc(2)-cantor-dropout=0-batchnorm=1-loss-2.png fc(2)-cantor-dropout=0-batchnorm=1-loss.png fc(2)-cantor-dropout=0-batchnorm=1-perf.png fc(2)-cantor-dropout=0-batchnorm=1.h5 fc(2)-cantor-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-cantor-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-cantor-dropout=0.5-batchnorm=0-loss-2.png fc(2)-cantor-dropout=0.5-batchnorm=0-loss.png fc(2)-cantor-dropout=0.5-batchnorm=0-perf.png fc(2)-cantor-dropout=0.5-batchnorm=0.h5 fc(2)-cantor-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-cantor-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-cantor-dropout=0.5-batchnorm=1-loss-2.png fc(2)-cantor-dropout=0.5-batchnorm=1-loss.png fc(2)-cantor-dropout=0.5-batchnorm=1-perf.png fc(2)-cantor-dropout=0.5-batchnorm=1.h5 fc(2)-exp-dropout=0-batchnorm=0-confusion-learn.png fc(2)-exp-dropout=0-batchnorm=0-confusion-test.png fc(2)-exp-dropout=0-batchnorm=0-loss-2.png fc(2)-exp-dropout=0-batchnorm=0-loss.png fc(2)-exp-dropout=0-batchnorm=0-perf.png fc(2)-exp-dropout=0-batchnorm=0.h5 fc(2)-exp-dropout=0-batchnorm=1-confusion-learn.png fc(2)-exp-dropout=0-batchnorm=1-confusion-test.png fc(2)-exp-dropout=0-batchnorm=1-loss-2.png fc(2)-exp-dropout=0-batchnorm=1-loss.png fc(2)-exp-dropout=0-batchnorm=1-perf.png fc(2)-exp-dropout=0-batchnorm=1.h5 fc(2)-exp-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-exp-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-exp-dropout=0.5-batchnorm=0-loss-2.png fc(2)-exp-dropout=0.5-batchnorm=0-loss.png fc(2)-exp-dropout=0.5-batchnorm=0-perf.png fc(2)-exp-dropout=0.5-batchnorm=0.h5 fc(2)-exp-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-exp-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-exp-dropout=0.5-batchnorm=1-loss-2.png fc(2)-exp-dropout=0.5-batchnorm=1-loss.png fc(2)-exp-dropout=0.5-batchnorm=1-perf.png fc(2)-exp-dropout=0.5-batchnorm=1.h5 fc(2)-exp_other_lr-dropout=0-batchnorm=0-confusion-learn.png fc(2)-exp_other_lr-dropout=0-batchnorm=0-confusion-test.png fc(2)-exp_other_lr-dropout=0-batchnorm=0-loss-2.png fc(2)-exp_other_lr-dropout=0-batchnorm=0-loss.png fc(2)-exp_other_lr-dropout=0-batchnorm=0-perf.png fc(2)-exp_other_lr-dropout=0-batchnorm=1-confusion-learn.png fc(2)-exp_other_lr-dropout=0-batchnorm=1-confusion-test.png fc(2)-exp_other_lr-dropout=0-batchnorm=1-loss-2.png fc(2)-exp_other_lr-dropout=0-batchnorm=1-loss.png fc(2)-exp_other_lr-dropout=0-batchnorm=1-perf.png fc(2)-exp_other_lr-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-exp_other_lr-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-exp_other_lr-dropout=0.5-batchnorm=0-loss-2.png fc(2)-exp_other_lr-dropout=0.5-batchnorm=0-loss.png fc(2)-exp_other_lr-dropout=0.5-batchnorm=0-perf.png fc(2)-exp_other_lr-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-exp_other_lr-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-exp_other_lr-dropout=0.5-batchnorm=1-loss-2.png fc(2)-exp_other_lr-dropout=0.5-batchnorm=1-loss.png fc(2)-exp_other_lr-dropout=0.5-batchnorm=1-perf.png fc(2)-log-dropout=0-batchnorm=0-confusion-learn.png fc(2)-log-dropout=0-batchnorm=0-confusion-test.png fc(2)-log-dropout=0-batchnorm=0-loss-2.png fc(2)-log-dropout=0-batchnorm=0-loss.png fc(2)-log-dropout=0-batchnorm=0-perf.png fc(2)-log-dropout=0-batchnorm=0.h5 fc(2)-log-dropout=0-batchnorm=1-confusion-learn.png fc(2)-log-dropout=0-batchnorm=1-confusion-test.png fc(2)-log-dropout=0-batchnorm=1-loss-2.png fc(2)-log-dropout=0-batchnorm=1-loss.png fc(2)-log-dropout=0-batchnorm=1-perf.png fc(2)-log-dropout=0-batchnorm=1.h5 fc(2)-log-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-log-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-log-dropout=0.5-batchnorm=0-loss-2.png fc(2)-log-dropout=0.5-batchnorm=0-loss.png fc(2)-log-dropout=0.5-batchnorm=0-perf.png fc(2)-log-dropout=0.5-batchnorm=0.h5 fc(2)-log-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-log-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-log-dropout=0.5-batchnorm=1-loss-2.png fc(2)-log-dropout=0.5-batchnorm=1-loss.png fc(2)-log-dropout=0.5-batchnorm=1-perf.png fc(2)-log-dropout=0.5-batchnorm=1.h5 fc(2)-log_abs-dropout=0-batchnorm=0-confusion-learn.png fc(2)-log_abs-dropout=0-batchnorm=0-confusion-test.png fc(2)-log_abs-dropout=0-batchnorm=0-loss-2.png fc(2)-log_abs-dropout=0-batchnorm=0-loss.png fc(2)-log_abs-dropout=0-batchnorm=0-perf.png fc(2)-log_abs-dropout=0-batchnorm=0.h5 fc(2)-log_abs-dropout=0-batchnorm=1-confusion-learn.png fc(2)-log_abs-dropout=0-batchnorm=1-confusion-test.png fc(2)-log_abs-dropout=0-batchnorm=1-loss-2.png fc(2)-log_abs-dropout=0-batchnorm=1-loss.png fc(2)-log_abs-dropout=0-batchnorm=1-perf.png fc(2)-log_abs-dropout=0-batchnorm=1.h5 fc(2)-log_abs-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-log_abs-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-log_abs-dropout=0.5-batchnorm=0-loss-2.png fc(2)-log_abs-dropout=0.5-batchnorm=0-loss.png fc(2)-log_abs-dropout=0.5-batchnorm=0-perf.png fc(2)-log_abs-dropout=0.5-batchnorm=0.h5 fc(2)-log_abs-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-log_abs-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-log_abs-dropout=0.5-batchnorm=1-loss-2.png fc(2)-log_abs-dropout=0.5-batchnorm=1-loss.png fc(2)-log_abs-dropout=0.5-batchnorm=1-perf.png fc(2)-log_abs-dropout=0.5-batchnorm=1.h5 fc(2)-sigmoid-dropout=0-batchnorm=0-confusion-learn.png fc(2)-sigmoid-dropout=0-batchnorm=0-confusion-test.png fc(2)-sigmoid-dropout=0-batchnorm=0-loss-2.png fc(2)-sigmoid-dropout=0-batchnorm=0-loss.png fc(2)-sigmoid-dropout=0-batchnorm=0-perf.png fc(2)-sigmoid-dropout=0-batchnorm=0.h5 fc(2)-sigmoid-dropout=0-batchnorm=1-confusion-learn.png fc(2)-sigmoid-dropout=0-batchnorm=1-confusion-test.png fc(2)-sigmoid-dropout=0-batchnorm=1-loss-2.png fc(2)-sigmoid-dropout=0-batchnorm=1-loss.png fc(2)-sigmoid-dropout=0-batchnorm=1-perf.png fc(2)-sigmoid-dropout=0-batchnorm=1.h5 fc(2)-sigmoid-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-sigmoid-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-sigmoid-dropout=0.5-batchnorm=0-loss-2.png fc(2)-sigmoid-dropout=0.5-batchnorm=0-loss.png fc(2)-sigmoid-dropout=0.5-batchnorm=0-perf.png fc(2)-sigmoid-dropout=0.5-batchnorm=0.h5 fc(2)-sigmoid-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-sigmoid-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-sigmoid-dropout=0.5-batchnorm=1-loss-2.png fc(2)-sigmoid-dropout=0.5-batchnorm=1-loss.png fc(2)-sigmoid-dropout=0.5-batchnorm=1-perf.png fc(2)-sigmoid-dropout=0.5-batchnorm=1.h5 fc(2)-sin(πx)-dropout=0-batchnorm=0-confusion-learn.png fc(2)-sin(πx)-dropout=0-batchnorm=0-confusion-test.png fc(2)-sin(πx)-dropout=0-batchnorm=0-loss-2.png fc(2)-sin(πx)-dropout=0-batchnorm=0-loss.png fc(2)-sin(πx)-dropout=0-batchnorm=0-perf.png fc(2)-sin(πx)-dropout=0-batchnorm=0.h5 fc(2)-sin(πx)-dropout=0-batchnorm=1-confusion-learn.png fc(2)-sin(πx)-dropout=0-batchnorm=1-confusion-test.png fc(2)-sin(πx)-dropout=0-batchnorm=1-loss-2.png fc(2)-sin(πx)-dropout=0-batchnorm=1-loss.png fc(2)-sin(πx)-dropout=0-batchnorm=1-perf.png fc(2)-sin(πx)-dropout=0-batchnorm=1.h5 fc(2)-sin(πx)-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-sin(πx)-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-sin(πx)-dropout=0.5-batchnorm=0-loss-2.png fc(2)-sin(πx)-dropout=0.5-batchnorm=0-loss.png fc(2)-sin(πx)-dropout=0.5-batchnorm=0-perf.png fc(2)-sin(πx)-dropout=0.5-batchnorm=0.h5 fc(2)-sin(πx)-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-sin(πx)-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-sin(πx)-dropout=0.5-batchnorm=1-loss-2.png fc(2)-sin(πx)-dropout=0.5-batchnorm=1-loss.png fc(2)-sin(πx)-dropout=0.5-batchnorm=1-perf.png fc(2)-sin(πx)-dropout=0.5-batchnorm=1.h5 fc(2)-sin-dropout=0-batchnorm=0-confusion-learn.png fc(2)-sin-dropout=0-batchnorm=0-confusion-test.png fc(2)-sin-dropout=0-batchnorm=0-loss-2.png fc(2)-sin-dropout=0-batchnorm=0-loss.png fc(2)-sin-dropout=0-batchnorm=0-perf.png fc(2)-sin-dropout=0-batchnorm=0.h5 fc(2)-sin-dropout=0-batchnorm=1-confusion-learn.png fc(2)-sin-dropout=0-batchnorm=1-confusion-test.png fc(2)-sin-dropout=0-batchnorm=1-loss-2.png fc(2)-sin-dropout=0-batchnorm=1-loss.png fc(2)-sin-dropout=0-batchnorm=1-perf.png fc(2)-sin-dropout=0-batchnorm=1.h5 fc(2)-sin-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-sin-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-sin-dropout=0.5-batchnorm=0-loss-2.png fc(2)-sin-dropout=0.5-batchnorm=0-loss.png fc(2)-sin-dropout=0.5-batchnorm=0-perf.png fc(2)-sin-dropout=0.5-batchnorm=0.h5 fc(2)-sin-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-sin-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-sin-dropout=0.5-batchnorm=1-loss-2.png fc(2)-sin-dropout=0.5-batchnorm=1-loss.png fc(2)-sin-dropout=0.5-batchnorm=1-perf.png fc(2)-sin-dropout=0.5-batchnorm=1.h5 fc(2)-sin_other_lr-dropout=0-batchnorm=0-confusion-learn.png fc(2)-sin_other_lr-dropout=0-batchnorm=0-confusion-test.png fc(2)-sin_other_lr-dropout=0-batchnorm=0-loss-2.png fc(2)-sin_other_lr-dropout=0-batchnorm=0-loss.png fc(2)-sin_other_lr-dropout=0-batchnorm=0-perf.png fc(2)-sin_other_lr-dropout=0-batchnorm=1-confusion-learn.png fc(2)-sin_other_lr-dropout=0-batchnorm=1-confusion-test.png fc(2)-sin_other_lr-dropout=0-batchnorm=1-loss-2.png fc(2)-sin_other_lr-dropout=0-batchnorm=1-loss.png fc(2)-sin_other_lr-dropout=0-batchnorm=1-perf.png fc(2)-sin_other_lr-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-sin_other_lr-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-sin_other_lr-dropout=0.5-batchnorm=0-loss-2.png fc(2)-sin_other_lr-dropout=0.5-batchnorm=0-loss.png fc(2)-sin_other_lr-dropout=0.5-batchnorm=0-perf.png fc(2)-sin_other_lr-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-sin_other_lr-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-sin_other_lr-dropout=0.5-batchnorm=1-loss-2.png fc(2)-sin_other_lr-dropout=0.5-batchnorm=1-loss.png fc(2)-sin_other_lr-dropout=0.5-batchnorm=1-perf.png fc(2)-sinc-dropout=0-batchnorm=0-confusion-learn.png fc(2)-sinc-dropout=0-batchnorm=0-confusion-test.png fc(2)-sinc-dropout=0-batchnorm=0-loss-2.png fc(2)-sinc-dropout=0-batchnorm=0-loss.png fc(2)-sinc-dropout=0-batchnorm=0-perf.png fc(2)-sinc-dropout=0-batchnorm=0.h5 fc(2)-sinc-dropout=0-batchnorm=1-confusion-learn.png fc(2)-sinc-dropout=0-batchnorm=1-confusion-test.png fc(2)-sinc-dropout=0-batchnorm=1-loss-2.png fc(2)-sinc-dropout=0-batchnorm=1-loss.png fc(2)-sinc-dropout=0-batchnorm=1-perf.png fc(2)-sinc-dropout=0-batchnorm=1.h5 fc(2)-sinc-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-sinc-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-sinc-dropout=0.5-batchnorm=0-loss-2.png fc(2)-sinc-dropout=0.5-batchnorm=0-loss.png fc(2)-sinc-dropout=0.5-batchnorm=0-perf.png fc(2)-sinc-dropout=0.5-batchnorm=0.h5 fc(2)-sinc-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-sinc-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-sinc-dropout=0.5-batchnorm=1-loss-2.png fc(2)-sinc-dropout=0.5-batchnorm=1-loss.png fc(2)-sinc-dropout=0.5-batchnorm=1-perf.png fc(2)-sinc-dropout=0.5-batchnorm=1.h5 fc(2)-sqrt-dropout=0-batchnorm=0-confusion-learn.png fc(2)-sqrt-dropout=0-batchnorm=0-confusion-test.png fc(2)-sqrt-dropout=0-batchnorm=0-loss-2.png fc(2)-sqrt-dropout=0-batchnorm=0-loss.png fc(2)-sqrt-dropout=0-batchnorm=0-perf.png fc(2)-sqrt-dropout=0-batchnorm=0.h5 fc(2)-sqrt-dropout=0-batchnorm=1-confusion-learn.png fc(2)-sqrt-dropout=0-batchnorm=1-confusion-test.png fc(2)-sqrt-dropout=0-batchnorm=1-loss-2.png fc(2)-sqrt-dropout=0-batchnorm=1-loss.png fc(2)-sqrt-dropout=0-batchnorm=1-perf.png fc(2)-sqrt-dropout=0-batchnorm=1.h5 fc(2)-sqrt-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-sqrt-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-sqrt-dropout=0.5-batchnorm=0-loss-2.png fc(2)-sqrt-dropout=0.5-batchnorm=0-loss.png fc(2)-sqrt-dropout=0.5-batchnorm=0-perf.png fc(2)-sqrt-dropout=0.5-batchnorm=0.h5 fc(2)-sqrt-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-sqrt-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-sqrt-dropout=0.5-batchnorm=1-loss-2.png fc(2)-sqrt-dropout=0.5-batchnorm=1-loss.png fc(2)-sqrt-dropout=0.5-batchnorm=1-perf.png fc(2)-sqrt-dropout=0.5-batchnorm=1.h5 fc(2)-tan-dropout=0-batchnorm=0-confusion-learn.png fc(2)-tan-dropout=0-batchnorm=0-confusion-test.png fc(2)-tan-dropout=0-batchnorm=0-loss-2.png fc(2)-tan-dropout=0-batchnorm=0-loss.png fc(2)-tan-dropout=0-batchnorm=0-perf.png fc(2)-tan-dropout=0-batchnorm=0.h5 fc(2)-tan-dropout=0-batchnorm=1-confusion-learn.png fc(2)-tan-dropout=0-batchnorm=1-confusion-test.png fc(2)-tan-dropout=0-batchnorm=1-loss-2.png fc(2)-tan-dropout=0-batchnorm=1-loss.png fc(2)-tan-dropout=0-batchnorm=1-perf.png fc(2)-tan-dropout=0-batchnorm=1.h5 fc(2)-tan-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-tan-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-tan-dropout=0.5-batchnorm=0-loss-2.png fc(2)-tan-dropout=0.5-batchnorm=0-loss.png fc(2)-tan-dropout=0.5-batchnorm=0-perf.png fc(2)-tan-dropout=0.5-batchnorm=0.h5 fc(2)-tan-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-tan-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-tan-dropout=0.5-batchnorm=1-loss-2.png fc(2)-tan-dropout=0.5-batchnorm=1-loss.png fc(2)-tan-dropout=0.5-batchnorm=1-perf.png fc(2)-tan-dropout=0.5-batchnorm=1.h5 fc(2)-x^2-dropout=0-batchnorm=0-confusion-learn.png fc(2)-x^2-dropout=0-batchnorm=0-confusion-test.png fc(2)-x^2-dropout=0-batchnorm=0-loss-2.png fc(2)-x^2-dropout=0-batchnorm=0-loss.png fc(2)-x^2-dropout=0-batchnorm=0-perf.png fc(2)-x^2-dropout=0-batchnorm=0.h5 fc(2)-x^2-dropout=0-batchnorm=1-confusion-learn.png fc(2)-x^2-dropout=0-batchnorm=1-confusion-test.png fc(2)-x^2-dropout=0-batchnorm=1-loss-2.png fc(2)-x^2-dropout=0-batchnorm=1-loss.png fc(2)-x^2-dropout=0-batchnorm=1-perf.png fc(2)-x^2-dropout=0-batchnorm=1.h5 fc(2)-x^2-dropout=0.5-batchnorm=0-confusion-learn.png fc(2)-x^2-dropout=0.5-batchnorm=0-confusion-test.png fc(2)-x^2-dropout=0.5-batchnorm=0-loss-2.png fc(2)-x^2-dropout=0.5-batchnorm=0-loss.png fc(2)-x^2-dropout=0.5-batchnorm=0-perf.png fc(2)-x^2-dropout=0.5-batchnorm=0.h5 fc(2)-x^2-dropout=0.5-batchnorm=1-confusion-learn.png fc(2)-x^2-dropout=0.5-batchnorm=1-confusion-test.png fc(2)-x^2-dropout=0.5-batchnorm=1-loss-2.png fc(2)-x^2-dropout=0.5-batchnorm=1-loss.png fc(2)-x^2-dropout=0.5-batchnorm=1-perf.png fc(2)-x^2-dropout=0.5-batchnorm=1.h5 fc(4)-CELU-dropout=0-batchnorm=0-confusion-learn.png fc(4)-CELU-dropout=0-batchnorm=0-confusion-test.png fc(4)-CELU-dropout=0-batchnorm=0-loss-2.png fc(4)-CELU-dropout=0-batchnorm=0-loss.png fc(4)-CELU-dropout=0-batchnorm=0-perf.png fc(4)-CELU-dropout=0-batchnorm=0.h5 fc(4)-CELU-dropout=0-batchnorm=1-confusion-learn.png fc(4)-CELU-dropout=0-batchnorm=1-confusion-test.png fc(4)-CELU-dropout=0-batchnorm=1-loss-2.png fc(4)-CELU-dropout=0-batchnorm=1-loss.png fc(4)-CELU-dropout=0-batchnorm=1-perf.png fc(4)-CELU-dropout=0-batchnorm=1.h5 fc(4)-CELU-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-CELU-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-CELU-dropout=0.5-batchnorm=0-loss-2.png fc(4)-CELU-dropout=0.5-batchnorm=0-loss.png fc(4)-CELU-dropout=0.5-batchnorm=0-perf.png fc(4)-CELU-dropout=0.5-batchnorm=0.h5 fc(4)-CELU-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-CELU-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-CELU-dropout=0.5-batchnorm=1-loss-2.png fc(4)-CELU-dropout=0.5-batchnorm=1-loss.png fc(4)-CELU-dropout=0.5-batchnorm=1-perf.png fc(4)-CELU-dropout=0.5-batchnorm=1.h5 fc(4)-ELU-dropout=0-batchnorm=0-confusion-learn.png fc(4)-ELU-dropout=0-batchnorm=0-confusion-test.png fc(4)-ELU-dropout=0-batchnorm=0-loss-2.png fc(4)-ELU-dropout=0-batchnorm=0-loss.png fc(4)-ELU-dropout=0-batchnorm=0-perf.png fc(4)-ELU-dropout=0-batchnorm=0.h5 fc(4)-ELU-dropout=0-batchnorm=1-confusion-learn.png fc(4)-ELU-dropout=0-batchnorm=1-confusion-test.png fc(4)-ELU-dropout=0-batchnorm=1-loss-2.png fc(4)-ELU-dropout=0-batchnorm=1-loss.png fc(4)-ELU-dropout=0-batchnorm=1-perf.png fc(4)-ELU-dropout=0-batchnorm=1.h5 fc(4)-ELU-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-ELU-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-ELU-dropout=0.5-batchnorm=0-loss-2.png fc(4)-ELU-dropout=0.5-batchnorm=0-loss.png fc(4)-ELU-dropout=0.5-batchnorm=0-perf.png fc(4)-ELU-dropout=0.5-batchnorm=0.h5 fc(4)-ELU-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-ELU-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-ELU-dropout=0.5-batchnorm=1-loss-2.png fc(4)-ELU-dropout=0.5-batchnorm=1-loss.png fc(4)-ELU-dropout=0.5-batchnorm=1-perf.png fc(4)-ELU-dropout=0.5-batchnorm=1.h5 fc(4)-GELU-dropout=0-batchnorm=0-confusion-learn.png fc(4)-GELU-dropout=0-batchnorm=0-confusion-test.png fc(4)-GELU-dropout=0-batchnorm=0-loss-2.png fc(4)-GELU-dropout=0-batchnorm=0-loss.png fc(4)-GELU-dropout=0-batchnorm=0-perf.png fc(4)-GELU-dropout=0-batchnorm=0.h5 fc(4)-GELU-dropout=0-batchnorm=1-confusion-learn.png fc(4)-GELU-dropout=0-batchnorm=1-confusion-test.png fc(4)-GELU-dropout=0-batchnorm=1-loss-2.png fc(4)-GELU-dropout=0-batchnorm=1-loss.png fc(4)-GELU-dropout=0-batchnorm=1-perf.png fc(4)-GELU-dropout=0-batchnorm=1.h5 fc(4)-GELU-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-GELU-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-GELU-dropout=0.5-batchnorm=0-loss-2.png fc(4)-GELU-dropout=0.5-batchnorm=0-loss.png fc(4)-GELU-dropout=0.5-batchnorm=0-perf.png fc(4)-GELU-dropout=0.5-batchnorm=0.h5 fc(4)-GELU-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-GELU-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-GELU-dropout=0.5-batchnorm=1-loss-2.png fc(4)-GELU-dropout=0.5-batchnorm=1-loss.png fc(4)-GELU-dropout=0.5-batchnorm=1-perf.png fc(4)-GELU-dropout=0.5-batchnorm=1.h5 fc(4)-Hardshrink-dropout=0-batchnorm=0-confusion-learn.png fc(4)-Hardshrink-dropout=0-batchnorm=0-confusion-test.png fc(4)-Hardshrink-dropout=0-batchnorm=0-loss-2.png fc(4)-Hardshrink-dropout=0-batchnorm=0-loss.png fc(4)-Hardshrink-dropout=0-batchnorm=0-perf.png fc(4)-Hardshrink-dropout=0-batchnorm=0.h5 fc(4)-Hardshrink-dropout=0-batchnorm=1-confusion-learn.png fc(4)-Hardshrink-dropout=0-batchnorm=1-confusion-test.png fc(4)-Hardshrink-dropout=0-batchnorm=1-loss-2.png fc(4)-Hardshrink-dropout=0-batchnorm=1-loss.png fc(4)-Hardshrink-dropout=0-batchnorm=1-perf.png fc(4)-Hardshrink-dropout=0-batchnorm=1.h5 fc(4)-Hardshrink-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-Hardshrink-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-Hardshrink-dropout=0.5-batchnorm=0-loss-2.png fc(4)-Hardshrink-dropout=0.5-batchnorm=0-loss.png fc(4)-Hardshrink-dropout=0.5-batchnorm=0-perf.png fc(4)-Hardshrink-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-Hardshrink-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-Hardshrink-dropout=0.5-batchnorm=1-loss-2.png fc(4)-Hardshrink-dropout=0.5-batchnorm=1-loss.png fc(4)-Hardshrink-dropout=0.5-batchnorm=1-perf.png fc(4)-Hardshrink-dropout=0.5-batchnorm=1.h5 fc(4)-Hardsigmoid-dropout=0-batchnorm=0-confusion-learn.png fc(4)-Hardsigmoid-dropout=0-batchnorm=0-confusion-test.png fc(4)-Hardsigmoid-dropout=0-batchnorm=0-loss-2.png fc(4)-Hardsigmoid-dropout=0-batchnorm=0-loss.png fc(4)-Hardsigmoid-dropout=0-batchnorm=0-perf.png fc(4)-Hardsigmoid-dropout=0-batchnorm=0.h5 fc(4)-Hardsigmoid-dropout=0-batchnorm=1-confusion-learn.png fc(4)-Hardsigmoid-dropout=0-batchnorm=1-confusion-test.png fc(4)-Hardsigmoid-dropout=0-batchnorm=1-loss-2.png fc(4)-Hardsigmoid-dropout=0-batchnorm=1-loss.png fc(4)-Hardsigmoid-dropout=0-batchnorm=1-perf.png fc(4)-Hardsigmoid-dropout=0-batchnorm=1.h5 fc(4)-Hardsigmoid-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-Hardsigmoid-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-Hardsigmoid-dropout=0.5-batchnorm=0-loss-2.png fc(4)-Hardsigmoid-dropout=0.5-batchnorm=0-loss.png fc(4)-Hardsigmoid-dropout=0.5-batchnorm=0-perf.png fc(4)-Hardsigmoid-dropout=0.5-batchnorm=0.h5 fc(4)-Hardsigmoid-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-Hardsigmoid-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-Hardsigmoid-dropout=0.5-batchnorm=1-loss-2.png fc(4)-Hardsigmoid-dropout=0.5-batchnorm=1-loss.png fc(4)-Hardsigmoid-dropout=0.5-batchnorm=1-perf.png fc(4)-Hardsigmoid-dropout=0.5-batchnorm=1.h5 fc(4)-Hardswish-dropout=0-batchnorm=0-confusion-learn.png fc(4)-Hardswish-dropout=0-batchnorm=0-confusion-test.png fc(4)-Hardswish-dropout=0-batchnorm=0-loss-2.png fc(4)-Hardswish-dropout=0-batchnorm=0-loss.png fc(4)-Hardswish-dropout=0-batchnorm=0-perf.png fc(4)-Hardswish-dropout=0-batchnorm=0.h5 fc(4)-Hardswish-dropout=0-batchnorm=1-confusion-learn.png fc(4)-Hardswish-dropout=0-batchnorm=1-confusion-test.png fc(4)-Hardswish-dropout=0-batchnorm=1-loss-2.png fc(4)-Hardswish-dropout=0-batchnorm=1-loss.png fc(4)-Hardswish-dropout=0-batchnorm=1-perf.png fc(4)-Hardswish-dropout=0-batchnorm=1.h5 fc(4)-Hardswish-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-Hardswish-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-Hardswish-dropout=0.5-batchnorm=0-loss-2.png fc(4)-Hardswish-dropout=0.5-batchnorm=0-loss.png fc(4)-Hardswish-dropout=0.5-batchnorm=0-perf.png fc(4)-Hardswish-dropout=0.5-batchnorm=0.h5 fc(4)-Hardswish-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-Hardswish-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-Hardswish-dropout=0.5-batchnorm=1-loss-2.png fc(4)-Hardswish-dropout=0.5-batchnorm=1-loss.png fc(4)-Hardswish-dropout=0.5-batchnorm=1-perf.png fc(4)-Hardswish-dropout=0.5-batchnorm=1.h5 fc(4)-Hardtanh-dropout=0-batchnorm=0-confusion-learn.png fc(4)-Hardtanh-dropout=0-batchnorm=0-confusion-test.png fc(4)-Hardtanh-dropout=0-batchnorm=0-loss-2.png fc(4)-Hardtanh-dropout=0-batchnorm=0-loss.png fc(4)-Hardtanh-dropout=0-batchnorm=0-perf.png fc(4)-Hardtanh-dropout=0-batchnorm=0.h5 fc(4)-Hardtanh-dropout=0-batchnorm=1-confusion-learn.png fc(4)-Hardtanh-dropout=0-batchnorm=1-confusion-test.png fc(4)-Hardtanh-dropout=0-batchnorm=1-loss-2.png fc(4)-Hardtanh-dropout=0-batchnorm=1-loss.png fc(4)-Hardtanh-dropout=0-batchnorm=1-perf.png fc(4)-Hardtanh-dropout=0-batchnorm=1.h5 fc(4)-Hardtanh-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-Hardtanh-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-Hardtanh-dropout=0.5-batchnorm=0-loss-2.png fc(4)-Hardtanh-dropout=0.5-batchnorm=0-loss.png fc(4)-Hardtanh-dropout=0.5-batchnorm=0-perf.png fc(4)-Hardtanh-dropout=0.5-batchnorm=0.h5 fc(4)-Hardtanh-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-Hardtanh-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-Hardtanh-dropout=0.5-batchnorm=1-loss-2.png fc(4)-Hardtanh-dropout=0.5-batchnorm=1-loss.png fc(4)-Hardtanh-dropout=0.5-batchnorm=1-perf.png fc(4)-Hardtanh-dropout=0.5-batchnorm=1.h5 fc(4)-IdGELU-dropout=0-batchnorm=0-confusion-learn.png fc(4)-IdGELU-dropout=0-batchnorm=0-confusion-test.png fc(4)-IdGELU-dropout=0-batchnorm=0-loss-2.png fc(4)-IdGELU-dropout=0-batchnorm=0-loss.png fc(4)-IdGELU-dropout=0-batchnorm=0-perf.png fc(4)-IdGELU-dropout=0-batchnorm=0.h5 fc(4)-IdGELU-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-IdGELU-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-IdGELU-dropout=0.5-batchnorm=0-loss-2.png fc(4)-IdGELU-dropout=0.5-batchnorm=0-loss.png fc(4)-IdGELU-dropout=0.5-batchnorm=0-perf.png fc(4)-IdGELU-dropout=0.5-batchnorm=0.h5 fc(4)-IdGELUsin-dropout=0-batchnorm=0-confusion-learn.png fc(4)-IdGELUsin-dropout=0-batchnorm=0-confusion-test.png fc(4)-IdGELUsin-dropout=0-batchnorm=0-loss-2.png fc(4)-IdGELUsin-dropout=0-batchnorm=0-loss.png fc(4)-IdGELUsin-dropout=0-batchnorm=0-perf.png fc(4)-IdGELUsin-dropout=0-batchnorm=0.h5 fc(4)-IdGELUsin-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-IdGELUsin-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-IdGELUsin-dropout=0.5-batchnorm=0-loss-2.png fc(4)-IdGELUsin-dropout=0.5-batchnorm=0-loss.png fc(4)-IdGELUsin-dropout=0.5-batchnorm=0-perf.png fc(4)-IdGELUsin-dropout=0.5-batchnorm=0.h5 fc(4)-Identity-dropout=0-batchnorm=0-confusion-learn.png fc(4)-Identity-dropout=0-batchnorm=0-confusion-test.png fc(4)-Identity-dropout=0-batchnorm=0-loss-2.png fc(4)-Identity-dropout=0-batchnorm=0-loss.png fc(4)-Identity-dropout=0-batchnorm=0-perf.png fc(4)-Identity-dropout=0-batchnorm=0.h5 fc(4)-Identity-dropout=0-batchnorm=1-confusion-learn.png fc(4)-Identity-dropout=0-batchnorm=1-confusion-test.png fc(4)-Identity-dropout=0-batchnorm=1-loss-2.png fc(4)-Identity-dropout=0-batchnorm=1-loss.png fc(4)-Identity-dropout=0-batchnorm=1-perf.png fc(4)-Identity-dropout=0-batchnorm=1.h5 fc(4)-Identity-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-Identity-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-Identity-dropout=0.5-batchnorm=0-loss-2.png fc(4)-Identity-dropout=0.5-batchnorm=0-loss.png fc(4)-Identity-dropout=0.5-batchnorm=0-perf.png fc(4)-Identity-dropout=0.5-batchnorm=0.h5 fc(4)-Identity-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-Identity-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-Identity-dropout=0.5-batchnorm=1-loss-2.png fc(4)-Identity-dropout=0.5-batchnorm=1-loss.png fc(4)-Identity-dropout=0.5-batchnorm=1-perf.png fc(4)-Identity-dropout=0.5-batchnorm=1.h5 fc(4)-Idsin-dropout=0-batchnorm=0-confusion-learn.png fc(4)-Idsin-dropout=0-batchnorm=0-confusion-test.png fc(4)-Idsin-dropout=0-batchnorm=0-loss-2.png fc(4)-Idsin-dropout=0-batchnorm=0-loss.png fc(4)-Idsin-dropout=0-batchnorm=0-perf.png fc(4)-Idsin-dropout=0-batchnorm=0.h5 fc(4)-Idsin-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-Idsin-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-Idsin-dropout=0.5-batchnorm=0-loss-2.png fc(4)-Idsin-dropout=0.5-batchnorm=0-loss.png fc(4)-Idsin-dropout=0.5-batchnorm=0-perf.png fc(4)-Idsin-dropout=0.5-batchnorm=0.h5 fc(4)-LeakyReLU(0.1)-dropout=0-batchnorm=0-confusion-learn.png fc(4)-LeakyReLU(0.1)-dropout=0-batchnorm=0-confusion-test.png fc(4)-LeakyReLU(0.1)-dropout=0-batchnorm=0-loss-2.png fc(4)-LeakyReLU(0.1)-dropout=0-batchnorm=0-loss.png fc(4)-LeakyReLU(0.1)-dropout=0-batchnorm=0-perf.png fc(4)-LeakyReLU(0.1)-dropout=0-batchnorm=0.h5 fc(4)-LeakyReLU(0.1)-dropout=0-batchnorm=1-confusion-learn.png fc(4)-LeakyReLU(0.1)-dropout=0-batchnorm=1-confusion-test.png fc(4)-LeakyReLU(0.1)-dropout=0-batchnorm=1-loss-2.png fc(4)-LeakyReLU(0.1)-dropout=0-batchnorm=1-loss.png fc(4)-LeakyReLU(0.1)-dropout=0-batchnorm=1-perf.png fc(4)-LeakyReLU(0.1)-dropout=0-batchnorm=1.h5 fc(4)-LeakyReLU(0.1)-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-LeakyReLU(0.1)-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-LeakyReLU(0.1)-dropout=0.5-batchnorm=0-loss-2.png fc(4)-LeakyReLU(0.1)-dropout=0.5-batchnorm=0-loss.png fc(4)-LeakyReLU(0.1)-dropout=0.5-batchnorm=0-perf.png fc(4)-LeakyReLU(0.1)-dropout=0.5-batchnorm=0.h5 fc(4)-LeakyReLU(0.1)-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-LeakyReLU(0.1)-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-LeakyReLU(0.1)-dropout=0.5-batchnorm=1-loss-2.png fc(4)-LeakyReLU(0.1)-dropout=0.5-batchnorm=1-loss.png fc(4)-LeakyReLU(0.1)-dropout=0.5-batchnorm=1-perf.png fc(4)-LeakyReLU(0.1)-dropout=0.5-batchnorm=1.h5 fc(4)-LeakyReLU(0.5)-dropout=0-batchnorm=0-confusion-learn.png fc(4)-LeakyReLU(0.5)-dropout=0-batchnorm=0-confusion-test.png fc(4)-LeakyReLU(0.5)-dropout=0-batchnorm=0-loss-2.png fc(4)-LeakyReLU(0.5)-dropout=0-batchnorm=0-loss.png fc(4)-LeakyReLU(0.5)-dropout=0-batchnorm=0-perf.png fc(4)-LeakyReLU(0.5)-dropout=0-batchnorm=0.h5 fc(4)-LeakyReLU(0.5)-dropout=0-batchnorm=1-confusion-learn.png fc(4)-LeakyReLU(0.5)-dropout=0-batchnorm=1-confusion-test.png fc(4)-LeakyReLU(0.5)-dropout=0-batchnorm=1-loss-2.png fc(4)-LeakyReLU(0.5)-dropout=0-batchnorm=1-loss.png fc(4)-LeakyReLU(0.5)-dropout=0-batchnorm=1-perf.png fc(4)-LeakyReLU(0.5)-dropout=0-batchnorm=1.h5 fc(4)-LeakyReLU(0.5)-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-LeakyReLU(0.5)-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-LeakyReLU(0.5)-dropout=0.5-batchnorm=0-loss-2.png fc(4)-LeakyReLU(0.5)-dropout=0.5-batchnorm=0-loss.png fc(4)-LeakyReLU(0.5)-dropout=0.5-batchnorm=0-perf.png fc(4)-LeakyReLU(0.5)-dropout=0.5-batchnorm=0.h5 fc(4)-LeakyReLU(0.5)-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-LeakyReLU(0.5)-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-LeakyReLU(0.5)-dropout=0.5-batchnorm=1-loss-2.png fc(4)-LeakyReLU(0.5)-dropout=0.5-batchnorm=1-loss.png fc(4)-LeakyReLU(0.5)-dropout=0.5-batchnorm=1-perf.png fc(4)-LeakyReLU(0.5)-dropout=0.5-batchnorm=1.h5 fc(4)-LeakyReLU(5.0)-dropout=0-batchnorm=0-confusion-learn.png fc(4)-LeakyReLU(5.0)-dropout=0-batchnorm=0-confusion-test.png fc(4)-LeakyReLU(5.0)-dropout=0-batchnorm=0-loss-2.png fc(4)-LeakyReLU(5.0)-dropout=0-batchnorm=0-loss.png fc(4)-LeakyReLU(5.0)-dropout=0-batchnorm=0-perf.png fc(4)-LeakyReLU(5.0)-dropout=0-batchnorm=0.h5 fc(4)-LeakyReLU(5.0)-dropout=0-batchnorm=1-confusion-learn.png fc(4)-LeakyReLU(5.0)-dropout=0-batchnorm=1-confusion-test.png fc(4)-LeakyReLU(5.0)-dropout=0-batchnorm=1-loss-2.png fc(4)-LeakyReLU(5.0)-dropout=0-batchnorm=1-loss.png fc(4)-LeakyReLU(5.0)-dropout=0-batchnorm=1-perf.png fc(4)-LeakyReLU(5.0)-dropout=0-batchnorm=1.h5 fc(4)-LeakyReLU(5.0)-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-LeakyReLU(5.0)-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-LeakyReLU(5.0)-dropout=0.5-batchnorm=0-loss-2.png fc(4)-LeakyReLU(5.0)-dropout=0.5-batchnorm=0-loss.png fc(4)-LeakyReLU(5.0)-dropout=0.5-batchnorm=0-perf.png fc(4)-LeakyReLU(5.0)-dropout=0.5-batchnorm=0.h5 fc(4)-LeakyReLU(5.0)-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-LeakyReLU(5.0)-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-LeakyReLU(5.0)-dropout=0.5-batchnorm=1-loss-2.png fc(4)-LeakyReLU(5.0)-dropout=0.5-batchnorm=1-loss.png fc(4)-LeakyReLU(5.0)-dropout=0.5-batchnorm=1-perf.png fc(4)-LeakyReLU(5.0)-dropout=0.5-batchnorm=1.h5 fc(4)-LeakyReLU-dropout=0-batchnorm=0-confusion-learn.png fc(4)-LeakyReLU-dropout=0-batchnorm=0-confusion-test.png fc(4)-LeakyReLU-dropout=0-batchnorm=0-loss-2.png fc(4)-LeakyReLU-dropout=0-batchnorm=0-loss.png fc(4)-LeakyReLU-dropout=0-batchnorm=0-perf.png fc(4)-LeakyReLU-dropout=0-batchnorm=0.h5 fc(4)-LeakyReLU-dropout=0-batchnorm=1-confusion-learn.png fc(4)-LeakyReLU-dropout=0-batchnorm=1-confusion-test.png fc(4)-LeakyReLU-dropout=0-batchnorm=1-loss-2.png fc(4)-LeakyReLU-dropout=0-batchnorm=1-loss.png fc(4)-LeakyReLU-dropout=0-batchnorm=1-perf.png fc(4)-LeakyReLU-dropout=0-batchnorm=1.h5 fc(4)-LeakyReLU-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-LeakyReLU-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-LeakyReLU-dropout=0.5-batchnorm=0-loss-2.png fc(4)-LeakyReLU-dropout=0.5-batchnorm=0-loss.png fc(4)-LeakyReLU-dropout=0.5-batchnorm=0-perf.png fc(4)-LeakyReLU-dropout=0.5-batchnorm=0.h5 fc(4)-LeakyReLU-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-LeakyReLU-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-LeakyReLU-dropout=0.5-batchnorm=1-loss-2.png fc(4)-LeakyReLU-dropout=0.5-batchnorm=1-loss.png fc(4)-LeakyReLU-dropout=0.5-batchnorm=1-perf.png fc(4)-LeakyReLU-dropout=0.5-batchnorm=1.h5 fc(4)-LogSigmoid-dropout=0-batchnorm=0-confusion-learn.png fc(4)-LogSigmoid-dropout=0-batchnorm=0-confusion-test.png fc(4)-LogSigmoid-dropout=0-batchnorm=0-loss-2.png fc(4)-LogSigmoid-dropout=0-batchnorm=0-loss.png fc(4)-LogSigmoid-dropout=0-batchnorm=0-perf.png fc(4)-LogSigmoid-dropout=0-batchnorm=0.h5 fc(4)-LogSigmoid-dropout=0-batchnorm=1-confusion-learn.png fc(4)-LogSigmoid-dropout=0-batchnorm=1-confusion-test.png fc(4)-LogSigmoid-dropout=0-batchnorm=1-loss-2.png fc(4)-LogSigmoid-dropout=0-batchnorm=1-loss.png fc(4)-LogSigmoid-dropout=0-batchnorm=1-perf.png fc(4)-LogSigmoid-dropout=0-batchnorm=1.h5 fc(4)-LogSigmoid-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-LogSigmoid-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-LogSigmoid-dropout=0.5-batchnorm=0-loss-2.png fc(4)-LogSigmoid-dropout=0.5-batchnorm=0-loss.png fc(4)-LogSigmoid-dropout=0.5-batchnorm=0-perf.png fc(4)-LogSigmoid-dropout=0.5-batchnorm=0.h5 fc(4)-LogSigmoid-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-LogSigmoid-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-LogSigmoid-dropout=0.5-batchnorm=1-loss-2.png fc(4)-LogSigmoid-dropout=0.5-batchnorm=1-loss.png fc(4)-LogSigmoid-dropout=0.5-batchnorm=1-perf.png fc(4)-LogSigmoid-dropout=0.5-batchnorm=1.h5 fc(4)-LogSoftmax-dropout=0-batchnorm=0-confusion-learn.png fc(4)-LogSoftmax-dropout=0-batchnorm=0-confusion-test.png fc(4)-LogSoftmax-dropout=0-batchnorm=0-loss-2.png fc(4)-LogSoftmax-dropout=0-batchnorm=0-loss.png fc(4)-LogSoftmax-dropout=0-batchnorm=0-perf.png fc(4)-LogSoftmax-dropout=0-batchnorm=0.h5 fc(4)-LogSoftmax-dropout=0-batchnorm=1-confusion-learn.png fc(4)-LogSoftmax-dropout=0-batchnorm=1-confusion-test.png fc(4)-LogSoftmax-dropout=0-batchnorm=1-loss-2.png fc(4)-LogSoftmax-dropout=0-batchnorm=1-loss.png fc(4)-LogSoftmax-dropout=0-batchnorm=1-perf.png fc(4)-LogSoftmax-dropout=0-batchnorm=1.h5 fc(4)-LogSoftmax-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-LogSoftmax-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-LogSoftmax-dropout=0.5-batchnorm=0-loss-2.png fc(4)-LogSoftmax-dropout=0.5-batchnorm=0-loss.png fc(4)-LogSoftmax-dropout=0.5-batchnorm=0-perf.png fc(4)-LogSoftmax-dropout=0.5-batchnorm=0.h5 fc(4)-LogSoftmax-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-LogSoftmax-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-LogSoftmax-dropout=0.5-batchnorm=1-loss-2.png fc(4)-LogSoftmax-dropout=0.5-batchnorm=1-loss.png fc(4)-LogSoftmax-dropout=0.5-batchnorm=1-perf.png fc(4)-LogSoftmax-dropout=0.5-batchnorm=1.h5 fc(4)-Mish-dropout=0-batchnorm=0-confusion-learn.png fc(4)-Mish-dropout=0-batchnorm=0-confusion-test.png fc(4)-Mish-dropout=0-batchnorm=0-loss-2.png fc(4)-Mish-dropout=0-batchnorm=0-loss.png fc(4)-Mish-dropout=0-batchnorm=0-perf.png fc(4)-Mish-dropout=0-batchnorm=0.h5 fc(4)-Mish-dropout=0-batchnorm=1-confusion-learn.png fc(4)-Mish-dropout=0-batchnorm=1-confusion-test.png fc(4)-Mish-dropout=0-batchnorm=1-loss-2.png fc(4)-Mish-dropout=0-batchnorm=1-loss.png fc(4)-Mish-dropout=0-batchnorm=1-perf.png fc(4)-Mish-dropout=0-batchnorm=1.h5 fc(4)-Mish-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-Mish-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-Mish-dropout=0.5-batchnorm=0-loss-2.png fc(4)-Mish-dropout=0.5-batchnorm=0-loss.png fc(4)-Mish-dropout=0.5-batchnorm=0-perf.png fc(4)-Mish-dropout=0.5-batchnorm=0.h5 fc(4)-Mish-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-Mish-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-Mish-dropout=0.5-batchnorm=1-loss-2.png fc(4)-Mish-dropout=0.5-batchnorm=1-loss.png fc(4)-Mish-dropout=0.5-batchnorm=1-perf.png fc(4)-Mish-dropout=0.5-batchnorm=1.h5 fc(4)-PReLU-dropout=0-batchnorm=0-confusion-learn.png fc(4)-PReLU-dropout=0-batchnorm=0-confusion-test.png fc(4)-PReLU-dropout=0-batchnorm=0-loss-2.png fc(4)-PReLU-dropout=0-batchnorm=0-loss.png fc(4)-PReLU-dropout=0-batchnorm=0-perf.png fc(4)-PReLU-dropout=0-batchnorm=0.h5 fc(4)-PReLU-dropout=0-batchnorm=1-confusion-learn.png fc(4)-PReLU-dropout=0-batchnorm=1-confusion-test.png fc(4)-PReLU-dropout=0-batchnorm=1-loss-2.png fc(4)-PReLU-dropout=0-batchnorm=1-loss.png fc(4)-PReLU-dropout=0-batchnorm=1-perf.png fc(4)-PReLU-dropout=0-batchnorm=1.h5 fc(4)-PReLU-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-PReLU-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-PReLU-dropout=0.5-batchnorm=0-loss-2.png fc(4)-PReLU-dropout=0.5-batchnorm=0-loss.png fc(4)-PReLU-dropout=0.5-batchnorm=0-perf.png fc(4)-PReLU-dropout=0.5-batchnorm=0.h5 fc(4)-PReLU-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-PReLU-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-PReLU-dropout=0.5-batchnorm=1-loss-2.png fc(4)-PReLU-dropout=0.5-batchnorm=1-loss.png fc(4)-PReLU-dropout=0.5-batchnorm=1-perf.png fc(4)-PReLU-dropout=0.5-batchnorm=1.h5 fc(4)-RReLU-dropout=0-batchnorm=0-confusion-learn.png fc(4)-RReLU-dropout=0-batchnorm=0-confusion-test.png fc(4)-RReLU-dropout=0-batchnorm=0-loss-2.png fc(4)-RReLU-dropout=0-batchnorm=0-loss.png fc(4)-RReLU-dropout=0-batchnorm=0-perf.png fc(4)-RReLU-dropout=0-batchnorm=0.h5 fc(4)-RReLU-dropout=0-batchnorm=1-confusion-learn.png fc(4)-RReLU-dropout=0-batchnorm=1-confusion-test.png fc(4)-RReLU-dropout=0-batchnorm=1-loss-2.png fc(4)-RReLU-dropout=0-batchnorm=1-loss.png fc(4)-RReLU-dropout=0-batchnorm=1-perf.png fc(4)-RReLU-dropout=0-batchnorm=1.h5 fc(4)-RReLU-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-RReLU-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-RReLU-dropout=0.5-batchnorm=0-loss-2.png fc(4)-RReLU-dropout=0.5-batchnorm=0-loss.png fc(4)-RReLU-dropout=0.5-batchnorm=0-perf.png fc(4)-RReLU-dropout=0.5-batchnorm=0.h5 fc(4)-RReLU-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-RReLU-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-RReLU-dropout=0.5-batchnorm=1-loss-2.png fc(4)-RReLU-dropout=0.5-batchnorm=1-loss.png fc(4)-RReLU-dropout=0.5-batchnorm=1-perf.png fc(4)-RReLU-dropout=0.5-batchnorm=1.h5 fc(4)-ReLU-dropout=0-batchnorm=0-confusion-learn.png fc(4)-ReLU-dropout=0-batchnorm=0-confusion-test.png fc(4)-ReLU-dropout=0-batchnorm=0-loss-2.png fc(4)-ReLU-dropout=0-batchnorm=0-loss.png fc(4)-ReLU-dropout=0-batchnorm=0-perf.png fc(4)-ReLU-dropout=0-batchnorm=0.h5 fc(4)-ReLU-dropout=0-batchnorm=1-confusion-learn.png fc(4)-ReLU-dropout=0-batchnorm=1-confusion-test.png fc(4)-ReLU-dropout=0-batchnorm=1-loss-2.png fc(4)-ReLU-dropout=0-batchnorm=1-loss.png fc(4)-ReLU-dropout=0-batchnorm=1-perf.png fc(4)-ReLU-dropout=0-batchnorm=1.h5 fc(4)-ReLU-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-ReLU-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-ReLU-dropout=0.5-batchnorm=0-loss-2.png fc(4)-ReLU-dropout=0.5-batchnorm=0-loss.png fc(4)-ReLU-dropout=0.5-batchnorm=0-perf.png fc(4)-ReLU-dropout=0.5-batchnorm=0.h5 fc(4)-ReLU-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-ReLU-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-ReLU-dropout=0.5-batchnorm=1-loss-2.png fc(4)-ReLU-dropout=0.5-batchnorm=1-loss.png fc(4)-ReLU-dropout=0.5-batchnorm=1-perf.png fc(4)-ReLU-dropout=0.5-batchnorm=1.h5 fc(4)-SELU-dropout=0-batchnorm=0-confusion-learn.png fc(4)-SELU-dropout=0-batchnorm=0-confusion-test.png fc(4)-SELU-dropout=0-batchnorm=0-loss-2.png fc(4)-SELU-dropout=0-batchnorm=0-loss.png fc(4)-SELU-dropout=0-batchnorm=0-perf.png fc(4)-SELU-dropout=0-batchnorm=0.h5 fc(4)-SELU-dropout=0-batchnorm=1-confusion-learn.png fc(4)-SELU-dropout=0-batchnorm=1-confusion-test.png fc(4)-SELU-dropout=0-batchnorm=1-loss-2.png fc(4)-SELU-dropout=0-batchnorm=1-loss.png fc(4)-SELU-dropout=0-batchnorm=1-perf.png fc(4)-SELU-dropout=0-batchnorm=1.h5 fc(4)-SELU-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-SELU-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-SELU-dropout=0.5-batchnorm=0-loss-2.png fc(4)-SELU-dropout=0.5-batchnorm=0-loss.png fc(4)-SELU-dropout=0.5-batchnorm=0-perf.png fc(4)-SELU-dropout=0.5-batchnorm=0.h5 fc(4)-SELU-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-SELU-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-SELU-dropout=0.5-batchnorm=1-loss-2.png fc(4)-SELU-dropout=0.5-batchnorm=1-loss.png fc(4)-SELU-dropout=0.5-batchnorm=1-perf.png fc(4)-SELU-dropout=0.5-batchnorm=1.h5 fc(4)-SiLU-dropout=0-batchnorm=0-confusion-learn.png fc(4)-SiLU-dropout=0-batchnorm=0-confusion-test.png fc(4)-SiLU-dropout=0-batchnorm=0-loss-2.png fc(4)-SiLU-dropout=0-batchnorm=0-loss.png fc(4)-SiLU-dropout=0-batchnorm=0-perf.png fc(4)-SiLU-dropout=0-batchnorm=0.h5 fc(4)-SiLU-dropout=0-batchnorm=1-confusion-learn.png fc(4)-SiLU-dropout=0-batchnorm=1-confusion-test.png fc(4)-SiLU-dropout=0-batchnorm=1-loss-2.png fc(4)-SiLU-dropout=0-batchnorm=1-loss.png fc(4)-SiLU-dropout=0-batchnorm=1-perf.png fc(4)-SiLU-dropout=0-batchnorm=1.h5 fc(4)-SiLU-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-SiLU-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-SiLU-dropout=0.5-batchnorm=0-loss-2.png fc(4)-SiLU-dropout=0.5-batchnorm=0-loss.png fc(4)-SiLU-dropout=0.5-batchnorm=0-perf.png fc(4)-SiLU-dropout=0.5-batchnorm=0.h5 fc(4)-SiLU-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-SiLU-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-SiLU-dropout=0.5-batchnorm=1-loss-2.png fc(4)-SiLU-dropout=0.5-batchnorm=1-loss.png fc(4)-SiLU-dropout=0.5-batchnorm=1-perf.png fc(4)-SiLU-dropout=0.5-batchnorm=1.h5 fc(4)-Softmax-dropout=0-batchnorm=0-confusion-learn.png fc(4)-Softmax-dropout=0-batchnorm=0-confusion-test.png fc(4)-Softmax-dropout=0-batchnorm=0-loss-2.png fc(4)-Softmax-dropout=0-batchnorm=0-loss.png fc(4)-Softmax-dropout=0-batchnorm=0-perf.png fc(4)-Softmax-dropout=0-batchnorm=0.h5 fc(4)-Softmax-dropout=0-batchnorm=1-confusion-learn.png fc(4)-Softmax-dropout=0-batchnorm=1-confusion-test.png fc(4)-Softmax-dropout=0-batchnorm=1-loss-2.png fc(4)-Softmax-dropout=0-batchnorm=1-loss.png fc(4)-Softmax-dropout=0-batchnorm=1-perf.png fc(4)-Softmax-dropout=0-batchnorm=1.h5 fc(4)-Softmax-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-Softmax-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-Softmax-dropout=0.5-batchnorm=0-loss-2.png fc(4)-Softmax-dropout=0.5-batchnorm=0-loss.png fc(4)-Softmax-dropout=0.5-batchnorm=0-perf.png fc(4)-Softmax-dropout=0.5-batchnorm=0.h5 fc(4)-Softmax-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-Softmax-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-Softmax-dropout=0.5-batchnorm=1-loss-2.png fc(4)-Softmax-dropout=0.5-batchnorm=1-loss.png fc(4)-Softmax-dropout=0.5-batchnorm=1-perf.png fc(4)-Softmax-dropout=0.5-batchnorm=1.h5 fc(4)-Softmin-dropout=0-batchnorm=0-confusion-learn.png fc(4)-Softmin-dropout=0-batchnorm=0-confusion-test.png fc(4)-Softmin-dropout=0-batchnorm=0-loss-2.png fc(4)-Softmin-dropout=0-batchnorm=0-loss.png fc(4)-Softmin-dropout=0-batchnorm=0-perf.png fc(4)-Softmin-dropout=0-batchnorm=0.h5 fc(4)-Softmin-dropout=0-batchnorm=1-confusion-learn.png fc(4)-Softmin-dropout=0-batchnorm=1-confusion-test.png fc(4)-Softmin-dropout=0-batchnorm=1-loss-2.png fc(4)-Softmin-dropout=0-batchnorm=1-loss.png fc(4)-Softmin-dropout=0-batchnorm=1-perf.png fc(4)-Softmin-dropout=0-batchnorm=1.h5 fc(4)-Softmin-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-Softmin-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-Softmin-dropout=0.5-batchnorm=0-loss-2.png fc(4)-Softmin-dropout=0.5-batchnorm=0-loss.png fc(4)-Softmin-dropout=0.5-batchnorm=0-perf.png fc(4)-Softmin-dropout=0.5-batchnorm=0.h5 fc(4)-Softmin-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-Softmin-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-Softmin-dropout=0.5-batchnorm=1-loss-2.png fc(4)-Softmin-dropout=0.5-batchnorm=1-loss.png fc(4)-Softmin-dropout=0.5-batchnorm=1-perf.png fc(4)-Softmin-dropout=0.5-batchnorm=1.h5 fc(4)-Softplus-dropout=0-batchnorm=0-confusion-learn.png fc(4)-Softplus-dropout=0-batchnorm=0-confusion-test.png fc(4)-Softplus-dropout=0-batchnorm=0-loss-2.png fc(4)-Softplus-dropout=0-batchnorm=0-loss.png fc(4)-Softplus-dropout=0-batchnorm=0-perf.png fc(4)-Softplus-dropout=0-batchnorm=0.h5 fc(4)-Softplus-dropout=0-batchnorm=1-confusion-learn.png fc(4)-Softplus-dropout=0-batchnorm=1-confusion-test.png fc(4)-Softplus-dropout=0-batchnorm=1-loss-2.png fc(4)-Softplus-dropout=0-batchnorm=1-loss.png fc(4)-Softplus-dropout=0-batchnorm=1-perf.png fc(4)-Softplus-dropout=0-batchnorm=1.h5 fc(4)-Softplus-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-Softplus-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-Softplus-dropout=0.5-batchnorm=0-loss-2.png fc(4)-Softplus-dropout=0.5-batchnorm=0-loss.png fc(4)-Softplus-dropout=0.5-batchnorm=0-perf.png fc(4)-Softplus-dropout=0.5-batchnorm=0.h5 fc(4)-Softplus-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-Softplus-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-Softplus-dropout=0.5-batchnorm=1-loss-2.png fc(4)-Softplus-dropout=0.5-batchnorm=1-loss.png fc(4)-Softplus-dropout=0.5-batchnorm=1-perf.png fc(4)-Softplus-dropout=0.5-batchnorm=1.h5 fc(4)-Softshrink-dropout=0-batchnorm=0-confusion-learn.png fc(4)-Softshrink-dropout=0-batchnorm=0-confusion-test.png fc(4)-Softshrink-dropout=0-batchnorm=0-loss-2.png fc(4)-Softshrink-dropout=0-batchnorm=0-loss.png fc(4)-Softshrink-dropout=0-batchnorm=0-perf.png fc(4)-Softshrink-dropout=0-batchnorm=0.h5 fc(4)-Softshrink-dropout=0-batchnorm=1-confusion-learn.png fc(4)-Softshrink-dropout=0-batchnorm=1-confusion-test.png fc(4)-Softshrink-dropout=0-batchnorm=1-loss-2.png fc(4)-Softshrink-dropout=0-batchnorm=1-loss.png fc(4)-Softshrink-dropout=0-batchnorm=1-perf.png fc(4)-Softshrink-dropout=0-batchnorm=1.h5 fc(4)-Softshrink-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-Softshrink-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-Softshrink-dropout=0.5-batchnorm=0-loss-2.png fc(4)-Softshrink-dropout=0.5-batchnorm=0-loss.png fc(4)-Softshrink-dropout=0.5-batchnorm=0-perf.png fc(4)-Softshrink-dropout=0.5-batchnorm=0.h5 fc(4)-Softshrink-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-Softshrink-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-Softshrink-dropout=0.5-batchnorm=1-loss-2.png fc(4)-Softshrink-dropout=0.5-batchnorm=1-loss.png fc(4)-Softshrink-dropout=0.5-batchnorm=1-perf.png fc(4)-Softshrink-dropout=0.5-batchnorm=1.h5 fc(4)-Softsign-dropout=0-batchnorm=0-confusion-learn.png fc(4)-Softsign-dropout=0-batchnorm=0-confusion-test.png fc(4)-Softsign-dropout=0-batchnorm=0-loss-2.png fc(4)-Softsign-dropout=0-batchnorm=0-loss.png fc(4)-Softsign-dropout=0-batchnorm=0-perf.png fc(4)-Softsign-dropout=0-batchnorm=0.h5 fc(4)-Softsign-dropout=0-batchnorm=1-confusion-learn.png fc(4)-Softsign-dropout=0-batchnorm=1-confusion-test.png fc(4)-Softsign-dropout=0-batchnorm=1-loss-2.png fc(4)-Softsign-dropout=0-batchnorm=1-loss.png fc(4)-Softsign-dropout=0-batchnorm=1-perf.png fc(4)-Softsign-dropout=0-batchnorm=1.h5 fc(4)-Softsign-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-Softsign-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-Softsign-dropout=0.5-batchnorm=0-loss-2.png fc(4)-Softsign-dropout=0.5-batchnorm=0-loss.png fc(4)-Softsign-dropout=0.5-batchnorm=0-perf.png fc(4)-Softsign-dropout=0.5-batchnorm=0.h5 fc(4)-Softsign-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-Softsign-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-Softsign-dropout=0.5-batchnorm=1-loss-2.png fc(4)-Softsign-dropout=0.5-batchnorm=1-loss.png fc(4)-Softsign-dropout=0.5-batchnorm=1-perf.png fc(4)-Softsign-dropout=0.5-batchnorm=1.h5 fc(4)-Tanh-dropout=0-batchnorm=0-confusion-learn.png fc(4)-Tanh-dropout=0-batchnorm=0-confusion-test.png fc(4)-Tanh-dropout=0-batchnorm=0-loss-2.png fc(4)-Tanh-dropout=0-batchnorm=0-loss.png fc(4)-Tanh-dropout=0-batchnorm=0-perf.png fc(4)-Tanh-dropout=0-batchnorm=0.h5 fc(4)-Tanh-dropout=0-batchnorm=1-confusion-learn.png fc(4)-Tanh-dropout=0-batchnorm=1-confusion-test.png fc(4)-Tanh-dropout=0-batchnorm=1-loss-2.png fc(4)-Tanh-dropout=0-batchnorm=1-loss.png fc(4)-Tanh-dropout=0-batchnorm=1-perf.png fc(4)-Tanh-dropout=0-batchnorm=1.h5 fc(4)-Tanh-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-Tanh-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-Tanh-dropout=0.5-batchnorm=0-loss-2.png fc(4)-Tanh-dropout=0.5-batchnorm=0-loss.png fc(4)-Tanh-dropout=0.5-batchnorm=0-perf.png fc(4)-Tanh-dropout=0.5-batchnorm=0.h5 fc(4)-Tanh-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-Tanh-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-Tanh-dropout=0.5-batchnorm=1-loss-2.png fc(4)-Tanh-dropout=0.5-batchnorm=1-loss.png fc(4)-Tanh-dropout=0.5-batchnorm=1-perf.png fc(4)-Tanh-dropout=0.5-batchnorm=1.h5 fc(4)-Tanhshrink-dropout=0-batchnorm=0-confusion-learn.png fc(4)-Tanhshrink-dropout=0-batchnorm=0-confusion-test.png fc(4)-Tanhshrink-dropout=0-batchnorm=0-loss-2.png fc(4)-Tanhshrink-dropout=0-batchnorm=0-loss.png fc(4)-Tanhshrink-dropout=0-batchnorm=0-perf.png fc(4)-Tanhshrink-dropout=0-batchnorm=1-confusion-learn.png fc(4)-Tanhshrink-dropout=0-batchnorm=1-confusion-test.png fc(4)-Tanhshrink-dropout=0-batchnorm=1-loss-2.png fc(4)-Tanhshrink-dropout=0-batchnorm=1-loss.png fc(4)-Tanhshrink-dropout=0-batchnorm=1-perf.png fc(4)-Tanhshrink-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-Tanhshrink-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-Tanhshrink-dropout=0.5-batchnorm=0-loss-2.png fc(4)-Tanhshrink-dropout=0.5-batchnorm=0-loss.png fc(4)-Tanhshrink-dropout=0.5-batchnorm=0-perf.png fc(4)-Tanhshrink-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-Tanhshrink-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-Tanhshrink-dropout=0.5-batchnorm=1-loss-2.png fc(4)-Tanhshrink-dropout=0.5-batchnorm=1-loss.png fc(4)-Tanhshrink-dropout=0.5-batchnorm=1-perf.png fc(4)-abs-dropout=0-batchnorm=0-confusion-learn.png fc(4)-abs-dropout=0-batchnorm=0-confusion-test.png fc(4)-abs-dropout=0-batchnorm=0-loss-2.png fc(4)-abs-dropout=0-batchnorm=0-loss.png fc(4)-abs-dropout=0-batchnorm=0-perf.png fc(4)-abs-dropout=0-batchnorm=1-confusion-learn.png fc(4)-abs-dropout=0-batchnorm=1-confusion-test.png fc(4)-abs-dropout=0-batchnorm=1-loss-2.png fc(4)-abs-dropout=0-batchnorm=1-loss.png fc(4)-abs-dropout=0-batchnorm=1-perf.png fc(4)-abs-dropout=0-batchnorm=1.h5 fc(4)-abs-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-abs-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-abs-dropout=0.5-batchnorm=0-loss-2.png fc(4)-abs-dropout=0.5-batchnorm=0-loss.png fc(4)-abs-dropout=0.5-batchnorm=0-perf.png fc(4)-abs-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-abs-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-abs-dropout=0.5-batchnorm=1-loss-2.png fc(4)-abs-dropout=0.5-batchnorm=1-loss.png fc(4)-abs-dropout=0.5-batchnorm=1-perf.png fc(4)-atan-dropout=0-batchnorm=0-confusion-learn.png fc(4)-atan-dropout=0-batchnorm=0-confusion-test.png fc(4)-atan-dropout=0-batchnorm=0-loss-2.png fc(4)-atan-dropout=0-batchnorm=0-loss.png fc(4)-atan-dropout=0-batchnorm=0-perf.png fc(4)-atan-dropout=0-batchnorm=0.h5 fc(4)-atan-dropout=0-batchnorm=1-confusion-learn.png fc(4)-atan-dropout=0-batchnorm=1-confusion-test.png fc(4)-atan-dropout=0-batchnorm=1-loss-2.png fc(4)-atan-dropout=0-batchnorm=1-loss.png fc(4)-atan-dropout=0-batchnorm=1-perf.png fc(4)-atan-dropout=0-batchnorm=1.h5 fc(4)-atan-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-atan-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-atan-dropout=0.5-batchnorm=0-loss-2.png fc(4)-atan-dropout=0.5-batchnorm=0-loss.png fc(4)-atan-dropout=0.5-batchnorm=0-perf.png fc(4)-atan-dropout=0.5-batchnorm=0.h5 fc(4)-atan-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-atan-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-atan-dropout=0.5-batchnorm=1-loss-2.png fc(4)-atan-dropout=0.5-batchnorm=1-loss.png fc(4)-atan-dropout=0.5-batchnorm=1-perf.png fc(4)-atan-dropout=0.5-batchnorm=1.h5 fc(4)-cantor-dropout=0-batchnorm=0-confusion-learn.png fc(4)-cantor-dropout=0-batchnorm=0-confusion-test.png fc(4)-cantor-dropout=0-batchnorm=0-loss-2.png fc(4)-cantor-dropout=0-batchnorm=0-loss.png fc(4)-cantor-dropout=0-batchnorm=0-perf.png fc(4)-cantor-dropout=0-batchnorm=0.h5 fc(4)-cantor-dropout=0-batchnorm=1-confusion-learn.png fc(4)-cantor-dropout=0-batchnorm=1-confusion-test.png fc(4)-cantor-dropout=0-batchnorm=1-loss-2.png fc(4)-cantor-dropout=0-batchnorm=1-loss.png fc(4)-cantor-dropout=0-batchnorm=1-perf.png fc(4)-cantor-dropout=0-batchnorm=1.h5 fc(4)-cantor-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-cantor-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-cantor-dropout=0.5-batchnorm=0-loss-2.png fc(4)-cantor-dropout=0.5-batchnorm=0-loss.png fc(4)-cantor-dropout=0.5-batchnorm=0-perf.png fc(4)-cantor-dropout=0.5-batchnorm=0.h5 fc(4)-cantor-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-cantor-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-cantor-dropout=0.5-batchnorm=1-loss-2.png fc(4)-cantor-dropout=0.5-batchnorm=1-loss.png fc(4)-cantor-dropout=0.5-batchnorm=1-perf.png fc(4)-cantor-dropout=0.5-batchnorm=1.h5 fc(4)-exp-dropout=0-batchnorm=0-confusion-learn.png fc(4)-exp-dropout=0-batchnorm=0-confusion-test.png fc(4)-exp-dropout=0-batchnorm=0-loss-2.png fc(4)-exp-dropout=0-batchnorm=0-loss.png fc(4)-exp-dropout=0-batchnorm=0-perf.png fc(4)-exp-dropout=0-batchnorm=0.h5 fc(4)-exp-dropout=0-batchnorm=1-confusion-learn.png fc(4)-exp-dropout=0-batchnorm=1-confusion-test.png fc(4)-exp-dropout=0-batchnorm=1-loss-2.png fc(4)-exp-dropout=0-batchnorm=1-loss.png fc(4)-exp-dropout=0-batchnorm=1-perf.png fc(4)-exp-dropout=0-batchnorm=1.h5 fc(4)-exp-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-exp-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-exp-dropout=0.5-batchnorm=0-loss-2.png fc(4)-exp-dropout=0.5-batchnorm=0-loss.png fc(4)-exp-dropout=0.5-batchnorm=0-perf.png fc(4)-exp-dropout=0.5-batchnorm=0.h5 fc(4)-exp-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-exp-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-exp-dropout=0.5-batchnorm=1-loss-2.png fc(4)-exp-dropout=0.5-batchnorm=1-loss.png fc(4)-exp-dropout=0.5-batchnorm=1-perf.png fc(4)-exp-dropout=0.5-batchnorm=1.h5 fc(4)-exp_other_lr-dropout=0-batchnorm=0-confusion-learn.png fc(4)-exp_other_lr-dropout=0-batchnorm=0-confusion-test.png fc(4)-exp_other_lr-dropout=0-batchnorm=0-loss-2.png fc(4)-exp_other_lr-dropout=0-batchnorm=0-loss.png fc(4)-exp_other_lr-dropout=0-batchnorm=0-perf.png fc(4)-exp_other_lr-dropout=0-batchnorm=1-confusion-learn.png fc(4)-exp_other_lr-dropout=0-batchnorm=1-confusion-test.png fc(4)-exp_other_lr-dropout=0-batchnorm=1-loss-2.png fc(4)-exp_other_lr-dropout=0-batchnorm=1-loss.png fc(4)-exp_other_lr-dropout=0-batchnorm=1-perf.png fc(4)-exp_other_lr-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-exp_other_lr-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-exp_other_lr-dropout=0.5-batchnorm=0-loss-2.png fc(4)-exp_other_lr-dropout=0.5-batchnorm=0-loss.png fc(4)-exp_other_lr-dropout=0.5-batchnorm=0-perf.png fc(4)-exp_other_lr-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-exp_other_lr-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-exp_other_lr-dropout=0.5-batchnorm=1-loss-2.png fc(4)-exp_other_lr-dropout=0.5-batchnorm=1-loss.png fc(4)-exp_other_lr-dropout=0.5-batchnorm=1-perf.png fc(4)-log-dropout=0-batchnorm=0-confusion-learn.png fc(4)-log-dropout=0-batchnorm=0-confusion-test.png fc(4)-log-dropout=0-batchnorm=0-loss-2.png fc(4)-log-dropout=0-batchnorm=0-loss.png fc(4)-log-dropout=0-batchnorm=0-perf.png fc(4)-log-dropout=0-batchnorm=0.h5 fc(4)-log-dropout=0-batchnorm=1-confusion-learn.png fc(4)-log-dropout=0-batchnorm=1-confusion-test.png fc(4)-log-dropout=0-batchnorm=1-loss-2.png fc(4)-log-dropout=0-batchnorm=1-loss.png fc(4)-log-dropout=0-batchnorm=1-perf.png fc(4)-log-dropout=0-batchnorm=1.h5 fc(4)-log-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-log-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-log-dropout=0.5-batchnorm=0-loss-2.png fc(4)-log-dropout=0.5-batchnorm=0-loss.png fc(4)-log-dropout=0.5-batchnorm=0-perf.png fc(4)-log-dropout=0.5-batchnorm=0.h5 fc(4)-log-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-log-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-log-dropout=0.5-batchnorm=1-loss-2.png fc(4)-log-dropout=0.5-batchnorm=1-loss.png fc(4)-log-dropout=0.5-batchnorm=1-perf.png fc(4)-log-dropout=0.5-batchnorm=1.h5 fc(4)-log_abs-dropout=0-batchnorm=0-confusion-learn.png fc(4)-log_abs-dropout=0-batchnorm=0-confusion-test.png fc(4)-log_abs-dropout=0-batchnorm=0-loss-2.png fc(4)-log_abs-dropout=0-batchnorm=0-loss.png fc(4)-log_abs-dropout=0-batchnorm=0-perf.png fc(4)-log_abs-dropout=0-batchnorm=0.h5 fc(4)-log_abs-dropout=0-batchnorm=1-confusion-learn.png fc(4)-log_abs-dropout=0-batchnorm=1-confusion-test.png fc(4)-log_abs-dropout=0-batchnorm=1-loss-2.png fc(4)-log_abs-dropout=0-batchnorm=1-loss.png fc(4)-log_abs-dropout=0-batchnorm=1-perf.png fc(4)-log_abs-dropout=0-batchnorm=1.h5 fc(4)-log_abs-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-log_abs-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-log_abs-dropout=0.5-batchnorm=0-loss-2.png fc(4)-log_abs-dropout=0.5-batchnorm=0-loss.png fc(4)-log_abs-dropout=0.5-batchnorm=0-perf.png fc(4)-log_abs-dropout=0.5-batchnorm=0.h5 fc(4)-log_abs-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-log_abs-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-log_abs-dropout=0.5-batchnorm=1-loss-2.png fc(4)-log_abs-dropout=0.5-batchnorm=1-loss.png fc(4)-log_abs-dropout=0.5-batchnorm=1-perf.png fc(4)-log_abs-dropout=0.5-batchnorm=1.h5 fc(4)-sigmoid-dropout=0-batchnorm=0-confusion-learn.png fc(4)-sigmoid-dropout=0-batchnorm=0-confusion-test.png fc(4)-sigmoid-dropout=0-batchnorm=0-loss-2.png fc(4)-sigmoid-dropout=0-batchnorm=0-loss.png fc(4)-sigmoid-dropout=0-batchnorm=0-perf.png fc(4)-sigmoid-dropout=0-batchnorm=0.h5 fc(4)-sigmoid-dropout=0-batchnorm=1-confusion-learn.png fc(4)-sigmoid-dropout=0-batchnorm=1-confusion-test.png fc(4)-sigmoid-dropout=0-batchnorm=1-loss-2.png fc(4)-sigmoid-dropout=0-batchnorm=1-loss.png fc(4)-sigmoid-dropout=0-batchnorm=1-perf.png fc(4)-sigmoid-dropout=0-batchnorm=1.h5 fc(4)-sigmoid-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-sigmoid-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-sigmoid-dropout=0.5-batchnorm=0-loss-2.png fc(4)-sigmoid-dropout=0.5-batchnorm=0-loss.png fc(4)-sigmoid-dropout=0.5-batchnorm=0-perf.png fc(4)-sigmoid-dropout=0.5-batchnorm=0.h5 fc(4)-sigmoid-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-sigmoid-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-sigmoid-dropout=0.5-batchnorm=1-loss-2.png fc(4)-sigmoid-dropout=0.5-batchnorm=1-loss.png fc(4)-sigmoid-dropout=0.5-batchnorm=1-perf.png fc(4)-sigmoid-dropout=0.5-batchnorm=1.h5 fc(4)-sin(πx)-dropout=0-batchnorm=0-confusion-learn.png fc(4)-sin(πx)-dropout=0-batchnorm=0-confusion-test.png fc(4)-sin(πx)-dropout=0-batchnorm=0-loss-2.png fc(4)-sin(πx)-dropout=0-batchnorm=0-loss.png fc(4)-sin(πx)-dropout=0-batchnorm=0-perf.png fc(4)-sin(πx)-dropout=0-batchnorm=0.h5 fc(4)-sin(πx)-dropout=0-batchnorm=1-confusion-learn.png fc(4)-sin(πx)-dropout=0-batchnorm=1-confusion-test.png fc(4)-sin(πx)-dropout=0-batchnorm=1-loss-2.png fc(4)-sin(πx)-dropout=0-batchnorm=1-loss.png fc(4)-sin(πx)-dropout=0-batchnorm=1-perf.png fc(4)-sin(πx)-dropout=0-batchnorm=1.h5 fc(4)-sin(πx)-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-sin(πx)-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-sin(πx)-dropout=0.5-batchnorm=0-loss-2.png fc(4)-sin(πx)-dropout=0.5-batchnorm=0-loss.png fc(4)-sin(πx)-dropout=0.5-batchnorm=0-perf.png fc(4)-sin(πx)-dropout=0.5-batchnorm=0.h5 fc(4)-sin(πx)-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-sin(πx)-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-sin(πx)-dropout=0.5-batchnorm=1-loss-2.png fc(4)-sin(πx)-dropout=0.5-batchnorm=1-loss.png fc(4)-sin(πx)-dropout=0.5-batchnorm=1-perf.png fc(4)-sin(πx)-dropout=0.5-batchnorm=1.h5 fc(4)-sin-dropout=0-batchnorm=0-confusion-learn.png fc(4)-sin-dropout=0-batchnorm=0-confusion-test.png fc(4)-sin-dropout=0-batchnorm=0-loss-2.png fc(4)-sin-dropout=0-batchnorm=0-loss.png fc(4)-sin-dropout=0-batchnorm=0-perf.png fc(4)-sin-dropout=0-batchnorm=0.h5 fc(4)-sin-dropout=0-batchnorm=1-confusion-learn.png fc(4)-sin-dropout=0-batchnorm=1-confusion-test.png fc(4)-sin-dropout=0-batchnorm=1-loss-2.png fc(4)-sin-dropout=0-batchnorm=1-loss.png fc(4)-sin-dropout=0-batchnorm=1-perf.png fc(4)-sin-dropout=0-batchnorm=1.h5 fc(4)-sin-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-sin-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-sin-dropout=0.5-batchnorm=0-loss-2.png fc(4)-sin-dropout=0.5-batchnorm=0-loss.png fc(4)-sin-dropout=0.5-batchnorm=0-perf.png fc(4)-sin-dropout=0.5-batchnorm=0.h5 fc(4)-sin-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-sin-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-sin-dropout=0.5-batchnorm=1-loss-2.png fc(4)-sin-dropout=0.5-batchnorm=1-loss.png fc(4)-sin-dropout=0.5-batchnorm=1-perf.png fc(4)-sin-dropout=0.5-batchnorm=1.h5 fc(4)-sin_other_lr-dropout=0-batchnorm=0-confusion-learn.png fc(4)-sin_other_lr-dropout=0-batchnorm=0-confusion-test.png fc(4)-sin_other_lr-dropout=0-batchnorm=0-loss-2.png fc(4)-sin_other_lr-dropout=0-batchnorm=0-loss.png fc(4)-sin_other_lr-dropout=0-batchnorm=0-perf.png fc(4)-sin_other_lr-dropout=0-batchnorm=1-confusion-learn.png fc(4)-sin_other_lr-dropout=0-batchnorm=1-confusion-test.png fc(4)-sin_other_lr-dropout=0-batchnorm=1-loss-2.png fc(4)-sin_other_lr-dropout=0-batchnorm=1-loss.png fc(4)-sin_other_lr-dropout=0-batchnorm=1-perf.png fc(4)-sin_other_lr-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-sin_other_lr-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-sin_other_lr-dropout=0.5-batchnorm=0-loss-2.png fc(4)-sin_other_lr-dropout=0.5-batchnorm=0-loss.png fc(4)-sin_other_lr-dropout=0.5-batchnorm=0-perf.png fc(4)-sin_other_lr-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-sin_other_lr-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-sin_other_lr-dropout=0.5-batchnorm=1-loss-2.png fc(4)-sin_other_lr-dropout=0.5-batchnorm=1-loss.png fc(4)-sin_other_lr-dropout=0.5-batchnorm=1-perf.png fc(4)-sinc-dropout=0-batchnorm=0-confusion-learn.png fc(4)-sinc-dropout=0-batchnorm=0-confusion-test.png fc(4)-sinc-dropout=0-batchnorm=0-loss-2.png fc(4)-sinc-dropout=0-batchnorm=0-loss.png fc(4)-sinc-dropout=0-batchnorm=0-perf.png fc(4)-sinc-dropout=0-batchnorm=0.h5 fc(4)-sinc-dropout=0-batchnorm=1-confusion-learn.png fc(4)-sinc-dropout=0-batchnorm=1-confusion-test.png fc(4)-sinc-dropout=0-batchnorm=1-loss-2.png fc(4)-sinc-dropout=0-batchnorm=1-loss.png fc(4)-sinc-dropout=0-batchnorm=1-perf.png fc(4)-sinc-dropout=0-batchnorm=1.h5 fc(4)-sinc-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-sinc-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-sinc-dropout=0.5-batchnorm=0-loss-2.png fc(4)-sinc-dropout=0.5-batchnorm=0-loss.png fc(4)-sinc-dropout=0.5-batchnorm=0-perf.png fc(4)-sinc-dropout=0.5-batchnorm=0.h5 fc(4)-sinc-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-sinc-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-sinc-dropout=0.5-batchnorm=1-loss-2.png fc(4)-sinc-dropout=0.5-batchnorm=1-loss.png fc(4)-sinc-dropout=0.5-batchnorm=1-perf.png fc(4)-sinc-dropout=0.5-batchnorm=1.h5 fc(4)-sqrt-dropout=0-batchnorm=0-confusion-learn.png fc(4)-sqrt-dropout=0-batchnorm=0-confusion-test.png fc(4)-sqrt-dropout=0-batchnorm=0-loss-2.png fc(4)-sqrt-dropout=0-batchnorm=0-loss.png fc(4)-sqrt-dropout=0-batchnorm=0-perf.png fc(4)-sqrt-dropout=0-batchnorm=0.h5 fc(4)-sqrt-dropout=0-batchnorm=1-confusion-learn.png fc(4)-sqrt-dropout=0-batchnorm=1-confusion-test.png fc(4)-sqrt-dropout=0-batchnorm=1-loss-2.png fc(4)-sqrt-dropout=0-batchnorm=1-loss.png fc(4)-sqrt-dropout=0-batchnorm=1-perf.png fc(4)-sqrt-dropout=0-batchnorm=1.h5 fc(4)-sqrt-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-sqrt-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-sqrt-dropout=0.5-batchnorm=0-loss-2.png fc(4)-sqrt-dropout=0.5-batchnorm=0-loss.png fc(4)-sqrt-dropout=0.5-batchnorm=0-perf.png fc(4)-sqrt-dropout=0.5-batchnorm=0.h5 fc(4)-sqrt-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-sqrt-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-sqrt-dropout=0.5-batchnorm=1-loss-2.png fc(4)-sqrt-dropout=0.5-batchnorm=1-loss.png fc(4)-sqrt-dropout=0.5-batchnorm=1-perf.png fc(4)-sqrt-dropout=0.5-batchnorm=1.h5 fc(4)-tan-dropout=0-batchnorm=0-confusion-learn.png fc(4)-tan-dropout=0-batchnorm=0-confusion-test.png fc(4)-tan-dropout=0-batchnorm=0-loss-2.png fc(4)-tan-dropout=0-batchnorm=0-loss.png fc(4)-tan-dropout=0-batchnorm=0-perf.png fc(4)-tan-dropout=0-batchnorm=0.h5 fc(4)-tan-dropout=0-batchnorm=1-confusion-learn.png fc(4)-tan-dropout=0-batchnorm=1-confusion-test.png fc(4)-tan-dropout=0-batchnorm=1-loss-2.png fc(4)-tan-dropout=0-batchnorm=1-loss.png fc(4)-tan-dropout=0-batchnorm=1-perf.png fc(4)-tan-dropout=0-batchnorm=1.h5 fc(4)-tan-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-tan-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-tan-dropout=0.5-batchnorm=0-loss-2.png fc(4)-tan-dropout=0.5-batchnorm=0-loss.png fc(4)-tan-dropout=0.5-batchnorm=0-perf.png fc(4)-tan-dropout=0.5-batchnorm=0.h5 fc(4)-tan-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-tan-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-tan-dropout=0.5-batchnorm=1-loss-2.png fc(4)-tan-dropout=0.5-batchnorm=1-loss.png fc(4)-tan-dropout=0.5-batchnorm=1-perf.png fc(4)-tan-dropout=0.5-batchnorm=1.h5 fc(4)-x^2-dropout=0-batchnorm=0-confusion-learn.png fc(4)-x^2-dropout=0-batchnorm=0-confusion-test.png fc(4)-x^2-dropout=0-batchnorm=0-loss-2.png fc(4)-x^2-dropout=0-batchnorm=0-loss.png fc(4)-x^2-dropout=0-batchnorm=0-perf.png fc(4)-x^2-dropout=0-batchnorm=0.h5 fc(4)-x^2-dropout=0-batchnorm=1-confusion-learn.png fc(4)-x^2-dropout=0-batchnorm=1-confusion-test.png fc(4)-x^2-dropout=0-batchnorm=1-loss-2.png fc(4)-x^2-dropout=0-batchnorm=1-loss.png fc(4)-x^2-dropout=0-batchnorm=1-perf.png fc(4)-x^2-dropout=0-batchnorm=1.h5 fc(4)-x^2-dropout=0.5-batchnorm=0-confusion-learn.png fc(4)-x^2-dropout=0.5-batchnorm=0-confusion-test.png fc(4)-x^2-dropout=0.5-batchnorm=0-loss-2.png fc(4)-x^2-dropout=0.5-batchnorm=0-loss.png fc(4)-x^2-dropout=0.5-batchnorm=0-perf.png fc(4)-x^2-dropout=0.5-batchnorm=0.h5 fc(4)-x^2-dropout=0.5-batchnorm=1-confusion-learn.png fc(4)-x^2-dropout=0.5-batchnorm=1-confusion-test.png fc(4)-x^2-dropout=0.5-batchnorm=1-loss-2.png fc(4)-x^2-dropout=0.5-batchnorm=1-loss.png fc(4)-x^2-dropout=0.5-batchnorm=1-perf.png fc(4)-x^2-dropout=0.5-batchnorm=1.h5