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:
-
Output: 0-D.
| 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/r1.15/api_docs/cc/class/tensorflow/ops/l2-loss