tf.nn.fractional_max

TensorFlow 1 version

View source on GitHub

Compute the Leaky ReLU activation function.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.nn.leaky_relu

tf.nn.leaky_relu(
    features, alpha=0.2, name=None
)

Source: Rectifier Nonlinearities Improve Neural Network Acoustic Models. AL Maas, AY Hannun, AY Ng - Proc. ICML, 2013. Args: features: A Tensor representing preactivation values. Must be one of the following types: float16, float32, float64, int32, int64. alpha: Slope of the activation function at x < 0. name: A name for the operation (optional).

Returns
The activation value.

References:

Rectifier Nonlinearities Improve Neural Network Acoustic Models: Maas et al., 2013 (pdf)

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.nn / fractional_max_pool

View aliases

Returns

References: