RbmLayer

abstract def *(d: Double): Layer

abstract def +(v: Layer): Layer

abstract def copy: RbmLayer

abstract def dot(v: Layer): Double

abstract def gradAndBackpropagationError(backpropagatedError: Mat): (Layer, Mat)

Returns the gradient (Layer-valued) and the backpropagated error, which is passed to the layer below.

abstract def inputDimension: Int

abstract def isInfinite: Boolean

abstract def isNaN: Boolean

abstract def outputDimension: Int

abstract def parameters: Mat

abstract def propagate(input: Mat): Mat

Returns the output given the input.

abstract def reinitialize(biasScaling: Double): RbmLayer

abstract def reverseLayer: Layer

Creates a new independent layer that has the same type as this one, but propagates the information in reverse direction

abstract def reversePropagate(output: Mat): Mat

Returns the result of signal propagation in reverse direction

abstract def sample(activation: Double): Double

abstract def unary_-: Layer

abstract def zero: Layer

final def !=(arg0: AnyRef): Boolean

final def !=(arg0: Any): Boolean

final def ##(): Int

def -(v: Layer): Layer

def /(d: Double): Layer

final def ==(arg0: AnyRef): Boolean

final def ==(arg0: Any): Boolean

def activityColorscheme: (Double) ⇒ Int

Color map for the activities

def activityShape: Option[(Int, Int)]

Optionally, one can specify how to reshape the neuron activities for visualization (height, width).

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

def isInvalid: Boolean

final def ne(arg0: AnyRef): Boolean

def norm: Double

def normSq: Double

def normalized: Layer

final def notify(): Unit

final def notifyAll(): Unit

def sample(activation: Mat): Mat

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

def toImage: BufferedImage

def toImage(w: Int, h: Int): BufferedImage

def toImage(colormap: (Double) ⇒ Int): BufferedImage

def toString(): String

def visualizeActivity(activity: Mat): BufferedImage

final def wait(): Unit

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

final def wait(arg0: Long): Unit