dec = RepeatVector(sequence_length)(inp_z) dec = Concatenate()([dec] + cat_emb) dec = LSTM(64, return_sequences=True)(dec)
时间: 2024-05-21 15:11:28 浏览: 115
The code above defines a decoder network in Keras.
The first line uses the `RepeatVector` layer to repeat the input `inp_z` for `sequence_length` times. This is done to match the length of the output sequence.
The second line concatenates the repeated input `inp_z` with the categorical embedding `cat_emb`.
The third line uses the `LSTM` layer with 64 units and `return_sequences=True` to process the concatenated input and generate a sequence of outputs of the same length as the input sequence.
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