Nadam

public class Nadam

Nadam Optimizer that implements the NAdam algorithm.

Much like Adam is essentially RMSprop with momentum, Nadam is Adam with Nesterov momentum.

See Also

Constants

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

Inherited Constants

Public Constructors

Nadam ( Graph graph)
Creates a Nadam Optimizer
Nadam ( Graph graph, float learningRate)
Creates a Nadam Optimizer
Nadam ( Graph graph, float learningRate, float betaOne, float betaTwo, float epsilon)
Creates a Nadam Optimizer
Nadam ( Graph graph, String name, float learningRate)
Creates a Nadam Optimizer
Nadam ( Graph graph, String name, float learningRate, float betaOne, float betaTwo, float epsilon)
Creates a Nadam Optimizer

Public Methods

String
getOptimizerName ()
Get the Name of the optimizer.

Inherited Methods

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-8

public static final String FIRST_MOMENT

Constant Value: "m"

public static final float LEARNING_RATE_DEFAULT

Constant Value: 0.001

public static final String MOMENTUM

Constant Value: "momentum"

public static final String SECOND_MOMENT

Constant Value: "v"

Public Constructors

public Nadam ( Graph graph)

Creates a Nadam Optimizer

Parameters
graph the TensorFlow graph

public Nadam ( Graph graph, float learningRate)

Creates a Nadam Optimizer

Parameters
graph the TensorFlow graph
learningRate the learning rate, defaults to 0.001

public Nadam ( Graph graph, float learningRate, float betaOne, float betaTwo, float epsilon)

Creates a Nadam Optimizer

Parameters
graph the TensorFlow graph
learningRate the learning rate, defaults to 0.001
betaOne The exponential decay rate for the 1st moment estimates. Default is 0.9.
betaTwo The exponential decay rate for the exponentially weighted infinity norm. Default is 0.999.
epsilon A small constant for numerical stability. Default is 1e-8.

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

Creates a Nadam Optimizer

Parameters
graph the TensorFlow graph
name the name for this Optimizer, defaults to "Nadam"
learningRate the learning rate, defaults to 0.001

public Nadam ( Graph graph, String name, float learningRate, float betaOne, float betaTwo, float epsilon)

Creates a Nadam Optimizer

Parameters
graph the TensorFlow graph
name the name for this Optimizer, defaults to "Nadam"
learningRate the learning rate, defaults to 0.001
betaOne The exponential decay rate for the 1st moment estimates. Default is 0.9.
betaTwo The exponential decay rate for the exponentially weighted infinity norm. Default is 0.999.
epsilon A small constant for numerical stability. Default is 1e-8.

Public Methods

public String getOptimizerName ()

Get the Name of the optimizer.

Returns
  • The optimizer name.