tf.keras.layers.StackedRNNCells

TensorFlow 1 version

View source on GitHub

Thresholded Rectified Linear Unit.

Inherits From: Layer, Module

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.layers.ThresholdedReLU

tf.keras.layers.ThresholdedReLU(
    theta=1.0, **kwargs
)

It follows:

  f(x) = x for x > theta
  f(x) = 0 otherwise`

Input shape:

Arbitrary. Use the keyword argument input_shape (tuple of integers, does not include the samples axis) when using this layer as the first layer in a model.

Output shape:

Same shape as the input.

Arguments
`theta`	Float >= 0. Threshold location of activation.

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.StackedRNNCells

View aliases

It follows:

Input shape:

Output shape:

Arguments