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Commit 8f470611 authored by tomrink's avatar tomrink
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modules/deeplearning/icing_cnn.py
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...@@ -560,8 +560,8 @@ class IcingIntensityNN: ...@@ -560,8 +560,8 @@ class IcingIntensityNN:
fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_5', doDropout=True, doBatchNorm=True) fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_5', doDropout=True, doBatchNorm=True)
fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_6', doDropout=True, doBatchNorm=True) # fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_6', doDropout=True, doBatchNorm=True)
#
# fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_7', doDropout=True, doBatchNorm=True) # fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_7', doDropout=True, doBatchNorm=True)
# #
# fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_8', doDropout=True, doBatchNorm=True) # fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_8', doDropout=True, doBatchNorm=True)
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