tensorflow::ops::Relu

#include <nn_ops.h>

Computes rectified linear: max(features, 0).

Summary

See: https://en.wikipedia.org/wiki/Rectifier_(neural_networks) Example usage: tf.nn.relu([-2., 0., -0., 3.]).numpy() array([ 0., 0., -0., 3.], dtype=float32)

Arguments:

• scope: A Scope object

Returns:

• Output: The activations tensor.

Public attributes

::tensorflow::Output activations

Operation operation

Public functions

 Relu(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input features
)

::tensorflow::Node * node() const 

operator::tensorflow::Input() const 

operator::tensorflow::Output() const