Adamax

public class Adamax

Optimizer that implements the Adamax algorithm.

It is a variant of Adam based on the infinity norm. Default parameters follow those provided in the paper. Adamax is sometimes superior to adam, specially in models with embeddings.

Constants

float	BETA_ONE_DEFAULT
float	BETA_TWO_DEFAULT
float	EPSILON_DEFAULT
String	FIRST_MOMENT
float	LEARNING_RATE_DEFAULT
String	SECOND_MOMENT

Inherited Constants

From class org.tensorflow.framework.optimizers.Optimizer

String VARIABLE_V2

Public Constructors

	Adamax(Graph graph) Creates an Optimizer that implements the Adamax algorithm.
	Adamax(Graph graph, String name) Creates an Optimizer that implements the Adamax algorithm.
	Adamax(Graph graph, float learningRate) Creates an Optimizer that implements the Adamax algorithm.
	Adamax(Graph graph, String name, float learningRate) Creates an Optimizer that implements the Adamax algorithm.
	Adamax(Graph graph, float learningRate, float betaOne, float betaTwo, float epsilon) Creates an Optimizer that implements the Adamax algorithm.
	Adamax(Graph graph, String name, float learningRate, float betaOne, float betaTwo, float epsilon) Creates an Optimizer that implements the Adamax algorithm.

Public Methods

String

getOptimizerName()

Get the Name of the optimizer.

Inherited Methods

From class org.tensorflow.framework.optimizers.Optimizer

Op	applyGradients(List<GradAndVar<? extends TType>> gradsAndVars, String name) Applies gradients to variables
<T extends TType> List<GradAndVar<?>>	computeGradients(Operand<?> loss) Computes the gradients based on a loss operand.
static String	createName(Output<? extends TType> variable, String slotName) Creates a name by combining a variable name and a slot name
abstract String	getOptimizerName() Get the Name of the optimizer.
<T extends TType> Optional<Variable<T>>	getSlot(Output<T> var, String slotName) Gets the slot associated with the specified variable and slot name.
final Ops	getTF() Gets the Optimizer's Ops instance
Op	minimize(Operand<?> loss) Minimizes the loss by updating the variables
Op	minimize(Operand<?> loss, String name) Minimizes the loss by updating the variables

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 float BETA_ONE_DEFAULT

Constant Value: 0.9

public static final float BETA_TWO_DEFAULT

Constant Value: 0.999

public static final float EPSILON_DEFAULT

Constant Value: 1.0E-7

public static final String FIRST_MOMENT

Constant Value: "m"

public static final float LEARNING_RATE_DEFAULT

Constant Value: 0.001