tensorflow::ops::L2Loss

#include <nn_ops.h>

L2 Loss.

Summary

Computes half the L2 norm of a tensor without the sqrt:

output = sum(t ** 2) / 2

Arguments:

  • scope: A Scope object
  • t: Typically 2-D, but may have any dimensions.

Returns:

Constructors and Destructors
L2Loss(const ::tensorflow::Scope & scope, ::tensorflow::Input t)
Public attributes
operation
output
Public functions
node() const
::tensorflow::Node *
operator::tensorflow::Input() const
operator::tensorflow::Output() const

Public attributes

operation

Operation operation

output

::tensorflow::Output output

Public functions

L2Loss

 L2Loss(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input t
)

node

::tensorflow::Node * node() const 

operator::tensorflow::Input

operator::tensorflow::Input() const 

operator::tensorflow::Output

operator::tensorflow::Output() const 

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/cc/class/tensorflow/ops/l2-loss