質問編集履歴
1
input_shapeを入れるのを忘れていたので修正と、model.summary()の結果の追加
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@@ -13,7 +13,7 @@
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```python
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model = Sequential()
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-
model.add(Dense(3000, activation='sigmoid'))
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model.add(Dense(3000, activation='sigmoid', input_shape=(30000,)))
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model.add(Dense(1000, activation='sigmoid'))
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model.add(Dense(500, activation='sigmoid'))
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@@ -23,6 +23,28 @@
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model.compile(loss='mean_squared_error', optimizer=Adam(lr=1e-3), metrics=['accuracy'])
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```
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**model.summary()の結果**
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```python
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Model: "sequential_1"
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_________________________________________________________________
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Layer (type) Output Shape Param #
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=================================================================
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dense_1 (Dense) (None, 30000) 900030000
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_________________________________________________________________
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dense_2 (Dense) (None, 1000) 30001000
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_________________________________________________________________
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dense_3 (Dense) (None, 500) 500500
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_________________________________________________________________
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dense_4 (Dense) (None, 250) 125250
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_________________________________________________________________
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dense_5 (Dense) (None, 21) 5271
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=================================================================
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Total params: 930,662,021
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Trainable params: 930,662,021
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Non-trainable params: 0
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_________________________________________________________________
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```
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**パソコン上のメモリ**・・・8GB(使用可能なのは実質5GB位)
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**プロセスがキルされたときのログ**
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