tf.nn.relu  |  TensorFlow v2.16.1 (original) (raw)

tf.nn.relu

Stay organized with collections Save and categorize content based on your preferences.

Computes rectified linear: max(features, 0).

View aliases

Compat aliases for migration

SeeMigration guide for more details.

tf.compat.v1.nn.relu

tf.nn.relu(
    features: Annotated[Any, TV_Relu_T], name=None
) -> Annotated[Any, TV_Relu_T]

Used in the notebooks

Used in the guide Used in the tutorials
Introduction to modules, layers, and models Multilayer perceptrons for digit recognition with Core APIs Understanding masking & padding Custom layers Generating Images with BigBiGAN Examining the TensorFlow Graph

See: https://en.wikipedia.org/wiki/Rectifier_(neural_networks)Example usage:

>>> tf.nn.relu([-2., 0., 3.]).numpy()
array([0., 0., 3.], dtype=float32)
Args
features A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, int64, bfloat16, uint16, half, uint32, uint64, qint8.
name A name for the operation (optional).
Returns
A Tensor. Has the same type as features.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.

Last updated 2024-04-26 UTC.