编译autoencoder时keras错误？

Question

这是我的自动编码的模型：

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, 2, 2, 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')(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='adadelta', loss='binary_crossentropy') 

这是我的配合和预测功能：

autoencoder.fit(X_train, X_train, 
      nb_epoch=10, 
      batch_size=128, 
      shuffle=True, 
      validation_data=(X_test, X_test)) 

decoded_imgs = autoencoder.predict(X_test) 

当我尝试编译此我碰到下面的错误。 我的数据集的所有图像都是32x32像素。为什么这个错误呢？

​​

我需要在我的模型中做什么改变，使输入形状变成（1,32,32）？

Answer 1

这很简单：

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, 2, 2, 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='adadelta', loss='binary_crossentropy') 

你忘了在6卷积层加入适量border_mode='same'。