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:

Constructors and Destructors
`Relu (const :: tensorflow::Scope & scope, :: tensorflow::Input features)`

Public attributes
`activations`	`:: tensorflow::Output`
`operation`	`Operation`

Public functions
`node () const`	`::tensorflow::Node *`
`operator::tensorflow::Input () const`
`operator::tensorflow::Output () const`

::tensorflow::Output activations

Operation operation

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

::tensorflow::Node * node() const

 operator::tensorflow::Input() const

 operator::tensorflow::Output() const

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Last updated 2021-08-16 UTC.