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@logkcal
Last active January 23, 2020 08:58
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model = keras.models.Sequential([
  keras.layers.LSTM(20, return_sequences=True, input_shape=[None, 1]),
  keras.layers.LSTM(20, return_sequences=True),
  keras.layers.TimeDistributed(keras.layers.Dense(10))
])
model = keras.models.Sequential([
  keras.layers.RNN(keras.layers.LSTMCell(20), return_sequences=True,
                   input_shape=[None, 1]),
  keras.layers.RNN(keras.layers.LSTMCell(20), return_sequences=True),
  keras.layers.TimeDistributed(keras.layers.Dense(10))
])

LSTM cell

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