C++ API Reference for Intel® Data Analytics Acceleration Library 2018 Update 3

Namespaces | Classes | Enumerations

Contains classes for the backward stage of the neural network layer. More...

Namespaces

 daal::algorithms::neural_networks::layers::backward
 Contains classes for the backward stage of the neural network layer.
 
 daal::algorithms::neural_networks::layers::backward::interface1
 Contains version 1.0 of Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface.
 

Classes

class  LayerIface
 Abstract class which defines interface for the layer. More...
 
class  LayerIfaceImpl
 Implements the abstract interface LayerIface. LayerIfaceImpl is, in turn, the base class for the classes interfacing the layers. More...
 
class  InputIface
 Abstract class that specifies interface of the input objects for the neural network layer algorithm. More...
 
class  Input
 Input parameters for the layer algorithm More...
 
class  Result
 Provides methods to access the result obtained with the compute() method of the layer algorithm. More...
 

Enumerations

enum  InputId { inputGradient }
 
enum  InputLayerDataId { inputFromForward = lastInputId + 1 }
 
enum  ResultId { gradient, weightDerivatives, biasDerivatives }
 
enum  ResultLayerDataId
 

Enumeration Type Documentation

enum InputId

Available identifiers of input objects for the layer algorithm

Enumerator
inputGradient 

Gradient of the preceding layer

enum InputLayerDataId

Available identifiers of input objects for the layer algorithm

Enumerator
inputFromForward 

Input structure retrieved from the result of the forward layer

enum ResultId

Available identifiers of results for the layer algorithm

Enumerator
gradient 

Gradient with respect to the outputs

weightDerivatives 

Gradient with respect to the weight

biasDerivatives 

Gradient with respect to the bias

enum ResultLayerDataId

Available identifiers of result objects for the layer algorithm

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