GradientDescent

public class GradientDescent

Basic Stochastic gradient descent optimizer. GradientDescent updates the current weight using the current gradient ?L/?w multiplied by the learning rate.

Constants

float

LEARNING_RATE_DEFAULT

Inherited Constants

From class org.tensorflow.framework.optimizers.Optimizer

String

VARIABLE_V2

Public Constructors

	GradientDescent(Graph graph) Creates a GradientDescent Optimizer
	GradientDescent(Graph graph, float learningRate) Creates a GradientDescent Optimizer
	GradientDescent(Graph graph, String name, float learningRate) Creates a GradientDescent Optimizer

Public Methods

String	getOptimizerName() Get the Name of the optimizer.
String	toString()

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 LEARNING_RATE_DEFAULT

Constant Value: 0.01

Public Constructors

public GradientDescent (Graph graph)

Creates a GradientDescent Optimizer

Parameters

graph	the TensorFlow graph

public GradientDescent (Graph graph, float learningRate)

Creates a GradientDescent Optimizer

Parameters

graph	the TensorFlow graph
learningRate	the learning rate, defaults to 0.01

public GradientDescent (Graph graph, String name, float learningRate)

Creates a GradientDescent Optimizer

Parameters

graph	the TensorFlow graph
name	the name for this Optimizer, default is "GradientDescent"
learningRate	the learning rate, defaults to 0.01

Public Methods

public String getOptimizerName ()

Get the Name of the optimizer.

Returns

• The optimizer name.

public String toString ()