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@@ -33,8 +33,11 @@ nb_filter = 16
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dropout_rate = 0.0 # 0.0 for data augmentation
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# Create the model (without loading weights)
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model = DenseNet(depth, nb_dense_block, growth_rate, nb_filter, dropout_rate=dropout_rate,
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input_shape=img_dim, weights=None)
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model = DenseNet(depth=depth, nb_dense_block=nb_dense_block,
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growth_rate=growth_rate, nb_filter=nb_filter,
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dropout_rate=dropout_rate,
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input_shape=img_dim,
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weights=None)
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print('Model created')
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model.summary()
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