ThresholdedReLU

Thresholded Rectified Linear Unit.

It follows:

f(x) = x,        if x theta
f(x) = 0         otherwise

0.3

Constructors

ThresholdedReLU

fun ThresholdedReLU(theta: Float = 1.0f, name: String = "")

Creates ThresholdedReLU object.

build

open override fun build(tf: Ops, input: Operand<Float>, isTraining: Operand<Boolean>, numberOfLosses: Operand<Float>?): Operand<Float>

open fun build(tf: Ops, input: List<Operand<Float>>, isTraining: Operand<Boolean>, numberOfLosses: Operand<Float>?): Operand<Float>

Extend this function to define variables in the layer and compute layer output.

forward

open override fun forward(tf: Ops, input: Operand<Float>): Operand<Float>

Applies the activation functions to the input to produce the output.

invoke

operator fun invoke(vararg layers: Layer): Layer

Important part of functional API. It takes layers as input and saves them to the inboundLayers of the given layer.

toString

open override fun toString(): String

hasActivation

Returns True, if layer has internal activation function.

inboundLayers

Returns inbound layers.

name

Layer name. A new name is generated during model compilation when provided name is empty.

outboundLayers

Returns outbound layers.

outputShape

Output data tensor shape.

parentModel

Model where this layer is used.

theta

val theta: Float = 1.0f

Threshold value for activation.