TensorFlow 1 version
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    View source on GitHub
  
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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 | |
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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
 | 
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state_size
 | 
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Methods
get_initial_state
get_initial_state(
    inputs=None, batch_size=None, dtype=None
)
  TensorFlow 1 version
    View source on GitHub