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Commit fb8ff298 authored by tomrink's avatar tomrink
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modules/deeplearning/icing.py
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......@@ -437,9 +437,13 @@ class IcingIntensityNN:
fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_6', doBatchNorm=True)
# fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_7', doBatchNorm=True)
#
# fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_8', doBatchNorm=True)
fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_7', doBatchNorm=True)
fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_8', doBatchNorm=True)
fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_9', doBatchNorm=True)
fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_10', doBatchNorm=True)
fc = tf.keras.layers.Dense(n_hidden, activation=activation)(fc)
fc = tf.keras.layers.BatchNormalization()(fc)
......
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