對一個層的多次調用，就是在共享這個層。

input1 = Input(shape=[28,28]) input2 = Input(shape=[28,28]) x1 = Flatten()(input1) x1 = Dense(60,activation="relu")(x1) x2 = Flatten()(input2) x2 = Dense(60,activation="relu")(x2)d = Dense(10, activation='softmax')output1 = d(x1) output2 = d(x2) model1 = Model(input=[input1], output=[output1]) model2 = Model(input=[input1], output=[output1]) print(model1.summary()) print(model2.summary())

結果：

____________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ==================================================================================================== input_1 (InputLayer) (None, 28, 28) 0 ____________________________________________________________________________________________________ flatten_1 (Flatten) (None, 784) 0 input_1[0][0] ____________________________________________________________________________________________________ dense_1 (Dense) (None, 60) 47100 flatten_1[0][0] ____________________________________________________________________________________________________ dense_3 (Dense) (None, 10) 610 dense_1[0][0] ==================================================================================================== Total params: 47710 ____________________________________________________________________________________________________ None ____________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ==================================================================================================== input_1 (InputLayer) (None, 28, 28) 0 ____________________________________________________________________________________________________ flatten_1 (Flatten) (None, 784) 0 input_1[0][0] ____________________________________________________________________________________________________ dense_1 (Dense) (None, 60) 47100 flatten_1[0][0] ____________________________________________________________________________________________________ dense_3 (Dense) (None, 10) 610 dense_1[0][0] ==================================================================================================== Total params: 47710 ____________________________________________________________________________________________________ None

如果修改x2：

x2 = Dense(70,activation="relu")(x2)

就會報錯：

Exception: Input 0 is incompatible with layer dense_3: expected shape=(None, 60), found shape=(None, 70)

就是因為第一次使用Dense層的時候，他的參數w的大小已經定了是（28*28，60），共享層的目的不就是為了共享參數的嗎，所以，我講明白了吧！

總結

以上是生活随笔為你收集整理的Keras共享某个层的全部內容，希望文章能夠幫你解決所遇到的問題。

如果覺得生活随笔網站內容還不錯，歡迎將生活随笔推薦給好友。