MaxNorm

public class MaxNorm

Constrains the weights incident to each hidden unit to have a norm less than or equal to a desired value.

Constants

int	AXIS_DEFAULT
double	MAX_VALUE_DEFAULT

Inherited Constants

From class org.tensorflow.framework.constraints.Constraint

float

EPSILON

Public Constructors

	MaxNorm(Ops tf) Create a MaxNorm constraint using MAX_VALUE_DEFAULT for the max value and AXIS_DEFAULT for the axis.
	MaxNorm(Ops tf, double maxValue) Create a MaxNorm constraint using AXIS_DEFAULT for the axis.
	MaxNorm(Ops tf, double maxValue, int axis) Create a MaxNorm constraint
	MaxNorm(Ops tf, double maxValue, int[] axes) Create a MaxNorm constraint

Public Methods

<T extends TNumber> Operand<T>	call(Operand<T> weights) Applies the constraint against the provided weights
int[]	getAxes() Gets the axes
double	getMaxValue() Gets the max value

Inherited Methods

From class org.tensorflow.framework.constraints.Constraint

abstract <T extends TNumber> Operand<T>	call(Operand<T> weights) Applies the constraint against the provided weights
Ops	getTF() Gets the TensorFlow Ops

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

Constants

public static final int AXIS_DEFAULT

Constant Value: 0

public static final double MAX_VALUE_DEFAULT

Constant Value: 2.0

Public Constructors

public MaxNorm (Ops tf)

Create a MaxNorm constraint using MAX_VALUE_DEFAULT for the max value and AXIS_DEFAULT for the axis.

Parameters

tf	the TensorFlow Ops

public MaxNorm (Ops tf, double maxValue)

Create a MaxNorm constraint using AXIS_DEFAULT for the axis.

Parameters

tf	the TensorFlow Ops
maxValue	the maximum norm for the incoming weights.

public MaxNorm (Ops tf, double maxValue, int axis)

Create a MaxNorm constraint

Parameters

tf	the TensorFlow Ops
maxValue	the maximum norm for the incoming weights.
axis	axis along which to calculate weight norms.

public MaxNorm (Ops tf, double maxValue, int[] axes)

Create a MaxNorm constraint

Parameters

tf	the TensorFlow Ops
maxValue	the maximum norm for the incoming weights.
axes	axes along which to calculate weight norms.

Public Methods

public Operand<T> call (Operand<T> weights)

Applies the constraint against the provided weights

Parameters

weights	the weights

Returns

• the constrained weights

public int[] getAxes ()

Gets the axes

Returns

• the axes

public double getMaxValue ()

Gets the max value

Returns

• the maxValue