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

References | Namespaces | Classes | Enumerations
Logistic Cross-entropy Layer

Contains classes for logistic cross-entropy layer. More...

References

 Backward Logistic Cross-entropy Layer
 Contains classes for the backward logistic cross-entropy layer.
 
 Forward Logistic Cross-entropy Layer
 Contains classes for the forward logistic cross-entropy layer.
 

Namespaces

 daal::algorithms::neural_networks::layers::loss::logistic_cross
 Contains classes for logistic cross-entropy layer.
 
 daal::algorithms::neural_networks::layers::loss::logistic_cross::interface1
 Contains version 1.0 of Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface.
 

Classes

class  Batch< algorithmFPType, method >
 Provides methods for the logistic cross-entropy layer in the batch processing mode. More...
 
class  Parameter
 Parameters for the logistic cross-entropy layer. More...
 

Enumerations

enum  Method { defaultDense = 0 }
 Computation methods for the logistic cross-entropy layer. More...
 
enum  LayerDataId { auxData = layers::lastLayerInputLayout + 1, auxGroundTruth }
 Identifiers of input objects for the backward logistic cross-entropy layer and results for the forward logistic cross-entropy layer. More...
 

Enumeration Type Documentation

enum LayerDataId

Enumerator
auxData 

Data processed at the forward stage of the layer

auxGroundTruth 

Tensor that stores ground truth data for the forward logistic cross-entropy layer

enum Method

Enumerator
defaultDense 

Default: performance-oriented method

For more complete information about compiler optimizations, see our Optimization Notice.