Tanh

Instance Constructors

new Tanh(input: DifferentiableField, a: Float = 1.7159f, b: Float = 0.6667f)

input
the input signal
a
scale parameter
b
gain parameter

Value Members

final def !=(arg0: Any): Boolean

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

Definition Classes
AnyRef → Any
def *(that: Float): DifferentiableField

Definition Classes
DifferentiableFieldOps
def *(that: DifferentiableField): DifferentiableField

Definition Classes
DifferentiableFieldOps
def +(that: Float): DifferentiableField

Definition Classes
DifferentiableFieldOps
def +(that: DifferentiableField): DifferentiableField

Definition Classes
DifferentiableFieldOps
def -(that: Float): DifferentiableField

Definition Classes
DifferentiableFieldOps
def -(that: DifferentiableField): DifferentiableField

Definition Classes
DifferentiableFieldOps
def /(that: Float): DifferentiableField

Definition Classes
DifferentiableFieldOps
def /(that: DifferentiableField): DifferentiableField

Definition Classes
DifferentiableFieldOps
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
val a: Float

scale parameter
def activateSGD(initField: libcog.Field = ScalarField(1f), invokeCallbacks: Boolean = true): Unit

Definition Classes
GradientPropagation
def add(input: DifferentiableField, c: Float): DifferentiableField

Definition Classes
BasicOps
def add(left: DifferentiableField, right: DifferentiableField): DifferentiableField

Definition Classes
BasicOps
final def asInstanceOf[T0]: T0

Definition Classes
Any
val b: Float

gain parameter
var backward: Option[libcog.Field]

Definition Classes
DifferentiableField
def backwardCallback(back: libcog.Field): Unit

Definition Classes
DifferentiableField
val batchSize: Int

Definition Classes
Tanh → DifferentiableField
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
def divide(input: DifferentiableField, c: Float): DifferentiableField

Definition Classes
BasicOps
def divide(left: DifferentiableField, right: DifferentiableField): DifferentiableField

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

Definition Classes
AnyRef
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
val forward: libcog.Field

Definition Classes
Tanh → DifferentiableField
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
var gradientBinding: Option[GradientBinding]

Definition Classes
DifferentiableField
val gradientConsumer: Boolean

Definition Classes
DifferentiableField
val input: DifferentiableField

the input signal
val inputs: Map[Symbol, GradientPort]

Definition Classes
Tanh → DifferentiableField
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
def multiply(input: DifferentiableField, c: Float): DifferentiableField

Definition Classes
BasicOps
def multiply(left: DifferentiableField, right: DifferentiableField): DifferentiableField

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

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def pow(input: DifferentiableField, n: Float): DifferentiableField

Raise a node to a fixed power.
Raise a node to a fixed power. Cog has two pow() function signatures corresponding to both integer and non-integer powers. The integer case is detected here and special-cased (instead of having a separate PowN node for this).
If the power n is anything other than a positive integer, make sure the inputs are always positive or NaNs will result.
input
the input signal
n
the power to raise the input to

Definition Classes
BasicOps
def subtract(input: DifferentiableField, c: Float): DifferentiableField

Definition Classes
BasicOps
def subtract(left: DifferentiableField, right: DifferentiableField): DifferentiableField

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

Definition Classes
AnyRef
def totalDerivative(): libcog.Field

Definition Classes
GradientPropagation
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 Doc: package function

case class Tanh(input: DifferentiableField, a: Float = 1.7159f, b: Float = 0.6667f) extends DifferentiableField with Product with Serializable

Instance Constructors

new Tanh(input: DifferentiableField, a: Float = 1.7159f, b: Float = 0.6667f)

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

def *(that: Float): DifferentiableField

def *(that: DifferentiableField): DifferentiableField

def +(that: Float): DifferentiableField

def +(that: DifferentiableField): DifferentiableField

def -(that: Float): DifferentiableField

def -(that: DifferentiableField): DifferentiableField

def /(that: Float): DifferentiableField

def /(that: DifferentiableField): DifferentiableField

final def ==(arg0: Any): Boolean

val a: Float

def activateSGD(initField: libcog.Field = ScalarField(1f), invokeCallbacks: Boolean = true): Unit

def add(input: DifferentiableField, c: Float): DifferentiableField

def add(left: DifferentiableField, right: DifferentiableField): DifferentiableField

final def asInstanceOf[T0]: T0

val b: Float

var backward: Option[libcog.Field]

def backwardCallback(back: libcog.Field): Unit

val batchSize: Int

def clone(): AnyRef

def divide(input: DifferentiableField, c: Float): DifferentiableField

def divide(left: DifferentiableField, right: DifferentiableField): DifferentiableField

final def eq(arg0: AnyRef): Boolean

def finalize(): Unit

val forward: libcog.Field

final def getClass(): Class[_]

var gradientBinding: Option[GradientBinding]

val gradientConsumer: Boolean

val input: DifferentiableField

val inputs: Map[Symbol, GradientPort]

final def isInstanceOf[T0]: Boolean

def multiply(input: DifferentiableField, c: Float): DifferentiableField

def multiply(left: DifferentiableField, right: DifferentiableField): DifferentiableField

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def pow(input: DifferentiableField, n: Float): DifferentiableField

def subtract(input: DifferentiableField, c: Float): DifferentiableField

def subtract(left: DifferentiableField, right: DifferentiableField): DifferentiableField

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

def totalDerivative(): libcog.Field

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from DifferentiableField

Inherited from GradientPropagation

Inherited from DifferentiableFieldOps

Inherited from BasicOps

Inherited from AnyRef

Inherited from Any

Ungrouped