check_autoencoder.py 文件源码

def build_lstm_autoencoder(autoencoder, X_train, X_test):
    X_train = X_train[:, np.newaxis, :] 
    X_test = X_test[:, np.newaxis, :]
    print("Modified X_train: ", X_train.shape)
    print("Modified X_test: ", X_test.shape)

    # The TimeDistributedDense isn't really necessary, however you need a lot of GPU memory to do 784x394-394x784
    autoencoder.add(TimeDistributedDense(input_dim, 16))
    autoencoder.add(AutoEncoder(encoder=LSTM(16, 8, activation=activation, return_sequences=True),
                                decoder=LSTM(8, input_dim, activation=activation, return_sequences=True),
                                output_reconstruction=False, tie_weights=True))
    return autoencoder, X_train, X_test