Class GradientDescent

java.lang.Object

org.tensorflow.framework.optimizers.Optimizer

org.tensorflow.framework.optimizers.GradientDescent

public class GradientDescent
extends Optimizer

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

Nested Class Summary

Nested classes/interfaces inherited from class Optimizer

Optimizer.GradAndVar<T>, Optimizer.Options

Field Summary

Fields

Modifier and Type	Field	Description
static final float	LEARNING_RATE_DEFAULT

Fields inherited from class Optimizer

globals, graph, tf, VARIABLE_V2

Constructor Summary

Constructors

Constructor	Description
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

Method Summary

Modifier and Type	Method	Description
protected <T extends TType> Op	applyDense(Ops deps, Output<T> gradient, Output<T> variable)	Generates the gradient update operations for the specific variable and gradient.
String	getOptimizerName()	Get the Name of the optimizer.
String	toString()

Methods inherited from class Optimizer

applyGradients, computeGradients, createName, createSlot, createSlots, finish, getSlot, getTF, minimize, minimize, prepare

Methods inherited from class Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Details

LEARNING_RATE_DEFAULT

public static final float LEARNING_RATE_DEFAULT

See Also:

• Constant Field Values

Constructor Details

GradientDescent

public GradientDescent(Graph graph)

Creates a GradientDescent Optimizer

Parameters:

graph - the TensorFlow graph

GradientDescent

public GradientDescent(Graph graph,
 float learningRate)

Creates a GradientDescent Optimizer

Parameters:

graph - the TensorFlow graph

learningRate - the learning rate, defaults to 0.01

GradientDescent

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

Method Details

applyDense

protected <T extends TType> Op applyDense(Ops deps,
 Output<T> gradient,
 Output<T> variable)

Generates the gradient update operations for the specific variable and gradient.

Specified by:

applyDense in class Optimizer

Type Parameters:

T - The type of the variable.

Parameters:

gradient - The gradient to use.

variable - The variable to update.

Returns:

An operand which applies the desired optimizer update to the variable.

toString

public String toString()

Overrides:

toString in class Object

getOptimizerName

public String getOptimizerName()

Get the Name of the optimizer.

Specified by:

getOptimizerName in class Optimizer

Returns:

The optimizer name.