Implementation of the OrthogonalRegularizer. More...

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

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

template < typename Archive >
void	serialize (Archive &ar, const uint32_t)
	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.

@inproceedings{WanICML2013,
  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.

Parameters

factor The factor for regularization.

Member Function Documentation

◆ Evaluate()

void Evaluate	(	const MatType &	weight,
		MatType &	gradient
	)

Calculate the gradient for regularization.

Template Parameters

MatType Type of weight matrix.

Parameters

weight	The weight matrix to be regularized.
gradient	The calculated gradient.

◆ serialize()

void serialize	(	Archive &	ar,
		const uint32_t
	)

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:

/home/ryan/src/mlpack.org/_src/mlpack-git/src/mlpack/methods/ann/regularizer/orthogonal_regularizer.hpp

Public Member Functions

Public Attributes