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 | |
|---|---|
cells
 | 
List of RNN cell instances. | 
Examples:
cells = [
    keras.layers.LSTMCell(output_dim),
    keras.layers.LSTMCell(output_dim),
    keras.layers.LSTMCell(output_dim),
]
inputs = keras.Input((timesteps, input_dim))
x = keras.layers.RNN(cells)(inputs)
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