Инвертирование нейронной сети автокодировщика

 input_img = Input(shape=(28, 28, 1))  
x = Flatten()(input_img)  
x = Dense(128, activation='relu')(x)  
x = Dense(64, activation='relu')(x)  
encoded = Dense(2, activation='linear')(x)  
  
input_enc = Input(shape=(2,))  
d = Dense(64, activation='relu')(input_enc)  
d = Dense(28*28, activation='sigmoid')(d)  
decoded = Reshape((28, 28, 1))(d)  
  
encoder = keras.Model(input_img, encoded, name="encoder")  
decoder = keras.Model(input_enc, decoded, name="decoder")  
autoencoder = keras.Model(input_img, decoder(encoder(input_img)), name="autoencoder")