如何分别使用keen中的自动编码器的编码器？

Question

我已经训练了以下的自动编码模式：

input_img = Input(shape=(1, 32, 32)) 

x = Convolution2D(16, 3, 3, activation='relu', border_mode='same')(input_img) 
x = MaxPooling2D((2, 2), border_mode='same')(x) 
x = Convolution2D(8, 3, 3, activation='relu', border_mode='same')(x) 
x = MaxPooling2D((2, 2), border_mode='same')(x) 
x = Convolution2D(8, 3, 3, activation='relu', border_mode='same')(x) 
encoded = MaxPooling2D((2, 2), border_mode='same')(x) 


x = Convolution2D(8, 3, 3, activation='relu', border_mode='same')(encoded) 
x = UpSampling2D((2, 2))(x) 
x = Convolution2D(8, 3, 3, activation='relu', border_mode='same')(x) 
x = UpSampling2D((2, 2))(x) 
x = Convolution2D(16, 3, 3, activation='relu',border_mode='same')(x) 
x = UpSampling2D((2, 2))(x) 
decoded = Convolution2D(1, 3, 3, activation='sigmoid', border_mode='same')(x) 

autoencoder = Model(input_img, decoded) 
autoencoder.compile(optimizer='RMSprop', loss='binary_crossentropy') 

autoencoder.fit(X_train, X_train, 
      nb_epoch=1, 
      batch_size=128, 
      shuffle=True, 
      validation_data=(X_test, X_test)] 
      ) 

训练这个自动编码器我想用训练有素的编码器以用于监督行之后。我如何才能提取此自动编码器模型的训练编码器部分？

Answer 1

您可以只创建训练后的模型只使用编码器：

autoencoder = Model(input_img, encoded) 

如果你想在编码部分后添加更多的层，你可以做到这一点还有：

classifier = Dense(nb_classes, activation='softmax')(encoded) 
model = Model(input_img, classifier)