更新时间:2022-06-26 01:22:21
您也可以将cnn_model
包装在TimeDistributed
包装器中.
You can wrap your cnn_model
also in a TimeDistributed
wrapper.
frames = Input(shape=(5, 224, 224, 3))
x = TimeDistributed(cnn_model)(frames)
x = TimeDistributed(Flatten())(x)
x = LSTM(neurons, dropout=dropout, name='lstm')(x)
out = Dense(n_output, kernel_initializer=weight_init, name='out')(x)
model = Model(inputs=frames, outputs=out)