質問編集履歴
2
kerasのバージョンを追加
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widgetsnbextension (3.0.8)
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keras '2.0.8-tf' #追記
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# 追記：モデルサマリー
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モデルのsummaryを追加しました
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wheel (0.30.0)
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# 追記：モデルサマリー
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Layer (type) Output Shape Param
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=================================================================
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conv2d_1 (Conv2D) (None, 32, 32, 32) 896
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_________________________________________________________________
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activation_1 (Activation) (None, 32, 32, 32) 0
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_________________________________________________________________
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conv2d_2 (Conv2D) (None, 30, 30, 32) 9248
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_________________________________________________________________
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activation_2 (Activation) (None, 30, 30, 32) 0
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_________________________________________________________________
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max_pooling2d_1 (MaxPooling2 (None, 15, 15, 32) 0
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_________________________________________________________________
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dropout_1 (Dropout) (None, 15, 15, 32) 0
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_________________________________________________________________
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conv2d_3 (Conv2D) (None, 15, 15, 64) 18496
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_________________________________________________________________
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activation_3 (Activation) (None, 15, 15, 64) 0
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_________________________________________________________________
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conv2d_4 (Conv2D) (None, 13, 13, 64) 36928
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_________________________________________________________________
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activation_4 (Activation) (None, 13, 13, 64) 0
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_________________________________________________________________
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max_pooling2d_2 (MaxPooling2 (None, 6, 6, 64) 0
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_________________________________________________________________
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dropout_2 (Dropout) (None, 6, 6, 64) 0
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flatten_1 (Flatten) (None, 2304) 0
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_________________________________________________________________
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dense_1 (Dense) (None, 512) 1180160
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_________________________________________________________________
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activation_5 (Activation) (None, 512) 0
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dropout_3 (Dropout) (None, 512) 0
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_________________________________________________________________
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dense_2 (Dense) (None, 10) 5130
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_________________________________________________________________
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activation_6 (Activation) (None, 10) 0
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=================================================================
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Total params: 1,250,858
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Trainable params: 1,250,858
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Non-trainable params: 0
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_________________________________________________________________
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