Java* API Reference for Intel® Data Analytics Acceleration Library 2018 Update 2

Static Public Attributes | List of all members
LossForwardInputId Class Reference

Available identifiers of input objects for the forward layer. More...

Class Constructor

◆ LossForwardInputId()

LossForwardInputId ( int  value)

Constructs the input object identifier using the provided value

Parameters
valueValue corresponding to the input object identifier

Static Public Attributes

static final LossForwardInputId data = new LossForwardInputId(dataId)
 
static final LossForwardInputId weights = new LossForwardInputId(weightsId)
 
static final LossForwardInputId biases = new LossForwardInputId(biasesId)
 
static final LossForwardInputId groundTruth = new LossForwardInputId(groundTruthId)
 

Detailed Description

Member Function Documentation

◆ getValue()

int getValue ( )

Returns the value corresponding to the input object identifier

Returns
Value corresponding to the input object identifier

Member Data Documentation

◆ biases

final LossForwardInputId biases = new LossForwardInputId(biasesId)
static

Biases of the neural network layer

◆ data

final LossForwardInputId data = new LossForwardInputId(dataId)
static

Input data

◆ groundTruth

final LossForwardInputId groundTruth = new LossForwardInputId(groundTruthId)
static

Ground truth of the neural network layer

◆ weights

final LossForwardInputId weights = new LossForwardInputId(weightsId)
static

Weights of the neural network layer


The documentation for this class was generated from the following file:

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