OrthogonalRegularizer Class Reference

Implementation of the OrthogonalRegularizer. More...

Public Member Functions

 OrthogonalRegularizer (double factor=1.0)
 Create the regularizer object. More...

void Evaluate (const MatType &weight, MatType &gradient)
 Calculate the gradient for regularization. More...

void serialize (Archive &ar, const unsigned int)
 Serialize the regularizer (nothing to do). More...


Public Attributes

double factor
 The constant for the regularization. More...


Detailed Description

Implementation of the OrthogonalRegularizer.

Orthogonality of weights is a desirable property because multiplication by an orthogonal matrix leaves the norm of the matrix unchanged. The orthogonal regularization technique encourages weights to be orthogonal.

For more information, see the following.

title={Neural Photo Editing with Introspective Adversarial Networks},
booktitle = {5th International Conference on Learning Representations
(ICLR - 17)},
author = {Andrew Brock and Theodore Lim and J.M. Ritchie and Nick Weston},
year = {2017}

Definition at line 38 of file orthogonal_regularizer.hpp.

Constructor & Destructor Documentation

◆ OrthogonalRegularizer()

OrthogonalRegularizer ( double  factor = 1.0)

Create the regularizer object.

factorThe factor for regularization.

Member Function Documentation

◆ Evaluate()

void Evaluate ( const MatType &  weight,
MatType &  gradient 

Calculate the gradient for regularization.

Template Parameters
MatTypeType of weight matrix.
weightThe weight matrix to be regularized.
gradientThe calculated gradient.

◆ serialize()

void serialize ( Archive &  ar,
const unsigned  int 

Serialize the regularizer (nothing to do).

Member Data Documentation

◆ factor

double factor

The constant for the regularization.

Definition at line 63 of file orthogonal_regularizer.hpp.

The documentation for this class was generated from the following file: