tf.keras.layers.SpatialDropout2D

TensorFlow 1 version

View source on GitHub

Wrapper allowing a stack of RNN cells to behave as a single cell.

Inherits From: Layer, Module

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.layers.StackedRNNCells

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`

View source

get_initial_state(
    inputs=None, batch_size=None, dtype=None
)

TensorFlow

tf

tf.audio

tf.autograph

tf.bitwise

tf.compat

tf.config

tf.data

tf.debugging

tf.distribute

tf.dtypes

tf.errors

tf.estimator

tf.experimental

tf.feature_column

tf.graph_util

tf.image

tf.initializers

tf.io

tf.keras

tf.linalg

tf.lite

tf.lookup

tf.losses

tf.math

tf.metrics

tf.nest

tf.nn

tf.optimizers

tf.quantization

tf.queue

tf.ragged

tf.random

tf.raw_ops

tf.saved_model

tf.sets

tf.signal

tf.sparse

tf.strings

tf.summary

tf.sysconfig

tf.test

tf.tpu

tf.train

tf.version

tf.xla

tf.keras / layers / layers.SpatialDropout2D

View aliases

Arguments

Examples:

Attributes

Methods

get_initial_state

`get_initial_state`