KullbackLeiblerDivergenceCriterion

Instance Constructors

new KullbackLeiblerDivergenceCriterion()(implicit arg0: ClassTag[T], ev: TensorNumeric[T])

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

Definition Classes
AnyRef → Any
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def asInstanceOf[T0]: T0

Definition Classes
Any
def backward(input: Tensor[T], target: Tensor[T]): Tensor[T]

Performs a back-propagation step through the criterion, with respect to the given input.
Performs a back-propagation step through the criterion, with respect to the given input.
input
input data
target
target
returns
gradient corresponding to input data

Definition Classes
AbstractCriterion
var bufferInput: Tensor[T]
var bufferTarget: Tensor[T]
def canEqual(other: Any): Boolean

Definition Classes
AbstractCriterion
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
def cloneCriterion(): AbstractCriterion[Tensor[T], Tensor[T], T]

Deep copy this criterion
Deep copy this criterion
returns
a deep copied criterion

Definition Classes
AbstractCriterion
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(other: Any): Boolean

Definition Classes
AbstractCriterion → AnyRef → Any
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
def forward(input: Tensor[T], target: Tensor[T]): T

Takes an input object, and computes the corresponding loss of the criterion, compared with target.
Takes an input object, and computes the corresponding loss of the criterion, compared with target.
input
input data
target
target
returns
the loss of criterion

Definition Classes
AbstractCriterion
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
var gradInput: Tensor[T]

Definition Classes
AbstractCriterion
def hashCode(): Int

Definition Classes
AbstractCriterion → AnyRef → Any
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
var output: T

Definition Classes
AbstractCriterion
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
def updateGradInput(input: Tensor[T], target: Tensor[T]): Tensor[T]

back propagation with: - target / input
back propagation with: - target / input
input
input data
target
target data / labels
returns
gradient of input

Definition Classes
KullbackLeiblerDivergenceCriterion → AbstractCriterion
def updateOutput(input: Tensor[T], target: Tensor[T]): T

It calculates: y_true = K.clip(y_true, K.epsilon(), 1) y_pred = K.clip(y_pred, K.epsilon(), 1) and output K.sum(y_true * K.log(y_true / y_pred), axis=-1)
It calculates: y_true = K.clip(y_true, K.epsilon(), 1) y_pred = K.clip(y_pred, K.epsilon(), 1) and output K.sum(y_true * K.log(y_true / y_pred), axis=-1)
input
input of the criterion
target
target or labels
returns
the loss of the criterion

Definition Classes
KullbackLeiblerDivergenceCriterion → AbstractCriterion
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )

Related Docs: object KullbackLeiblerDivergenceCriterion | package nn

class KullbackLeiblerDivergenceCriterion[T] extends TensorCriterion[T]

Instance Constructors

new KullbackLeiblerDivergenceCriterion()(implicit arg0: ClassTag[T], ev: TensorNumeric[T])

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def backward(input: Tensor[T], target: Tensor[T]): Tensor[T]

var bufferInput: Tensor[T]

var bufferTarget: Tensor[T]

def canEqual(other: Any): Boolean

def clone(): AnyRef

def cloneCriterion(): AbstractCriterion[Tensor[T], Tensor[T], T]

final def eq(arg0: AnyRef): Boolean

def equals(other: Any): Boolean

def finalize(): Unit

def forward(input: Tensor[T], target: Tensor[T]): T

final def getClass(): Class[_]

var gradInput: Tensor[T]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

var output: T

final def synchronized[T0](arg0: ⇒ T0): T0

def toString(): String

def updateGradInput(input: Tensor[T], target: Tensor[T]): Tensor[T]

def updateOutput(input: Tensor[T], target: Tensor[T]): T

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit

Inherited from TensorCriterion[T]

Inherited from AbstractCriterion[Tensor[T], Tensor[T], T]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped