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tf.keras.layers.StackedRNNCells
Wrapper allowing a stack of RNN cells to behave as a single cell.
Inherits From: Layer
tf.keras.layers.StackedRNNCells(
    cells, **kwargs
)
  Used to implement efficient stacked RNNs.
| Arguments | |
|---|---|
cells | 
      List of RNN cell instances. | 
Examples:
batch_size = 3
sentence_max_length = 5
n_features = 2
new_shape = (batch_size, sentence_max_length, n_features)
x = tf.constant(np.reshape(np.arange(30), new_shape), dtype = tf.float32)
rnn_cells = [tf.keras.layers.LSTMCell(128) for _ in range(2)]
stacked_lstm = tf.keras.layers.StackedRNNCells(rnn_cells)
lstm_layer = tf.keras.layers.RNN(stacked_lstm)
result = lstm_layer(x)
  | Attributes | |
|---|---|
output_size | 
      |
state_size | 
      |
Methods
get_initial_state
  
  get_initial_state(
    inputs=None, batch_size=None, dtype=None
)
 © 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
 https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/keras/layers/StackedRNNCells