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., 3.]).numpy() array([0., 0., 3.], dtype=float32)

Args:

Returns:

  • Output: The activations tensor.

Constructors and Destructors

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

Public attributes

activations
operation

Public functions

node() const
::tensorflow::Node *
operator::tensorflow::Input() const
operator::tensorflow::Output() const

Public attributes

activations

::tensorflow::Output activations

operation

Operation operation

Public functions

Relu

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

node

::tensorflow::Node * node() const

operator::tensorflow::Output

 operator::tensorflow::Output() const