BatchNorm

lamp.nn.BatchNorm$
See theBatchNorm companion class
object BatchNorm

Attributes

Companion
class
Graph
Supertypes
trait Product
trait Mirror
class Object
trait Matchable
class Any
Self type
BatchNorm.type

Members list

Type members

Classlikes

case object Bias extends LeafTag

Attributes

Supertypes
trait Singleton
trait Product
trait Mirror
trait Serializable
trait Product
trait Equals
trait LeafTag
trait PTag
class Object
trait Matchable
class Any
Show all
Self type
Bias.type
case object RunningMean extends LeafTag

Attributes

Supertypes
trait Singleton
trait Product
trait Mirror
trait Serializable
trait Product
trait Equals
trait LeafTag
trait PTag
class Object
trait Matchable
class Any
Show all
Self type
case object RunningVar extends LeafTag

Attributes

Supertypes
trait Singleton
trait Product
trait Mirror
trait Serializable
trait Product
trait Equals
trait LeafTag
trait PTag
class Object
trait Matchable
class Any
Show all
Self type
RunningVar.type
case object Weights extends LeafTag

Attributes

Supertypes
trait Singleton
trait Product
trait Mirror
trait Serializable
trait Product
trait Equals
trait LeafTag
trait PTag
class Object
trait Matchable
class Any
Show all
Self type
Weights.type

Inherited types

type MirroredElemLabels <: Tuple

The names of the product elements

The names of the product elements

Attributes

Inherited from:
Mirror
type MirroredLabel <: String

The name of the type

The name of the type

Attributes

Inherited from:
Mirror

Value members

Concrete methods

def apply[S : Sc](features: Int, tOpt: STenOptions, training: Boolean, momentum: Double, eps: Double, forceTrain: Boolean, forceEval: Boolean, evalIfBatchSizeIsOne: Boolean): BatchNorm

Implicits

Implicits

implicit val load: Load[BatchNorm]