Java* API Reference for Intel® Data Analytics Acceleration Library 2018 Update 3

Modules | Packages | Classes
Three-dimensional Pooling Layer

Contains classes for the three-dimensional (3D) pooling layer. More...

Detailed Description

Modules

 Backward Three-dimensional Pooling Layer
 Contains classes for backward three-dimensional (3D) pooling layer.
 
 Forward Three-dimensional Pooling Layer
 Contains classes for the forward three-dimensional (3D) pooling layer.
 
 Three-dimensional Average Pooling Layer
 Contains classes for average three-dimensional (3D) pooling layer.
 
 Three-dimensional Max Pooling Layer
 Contains classes for maximum three-dimensional (3D) pooling layer.
 

Packages

package  com.intel.daal.algorithms.neural_networks.layers.pooling3d
 Contains classes of the three-dimensional (3D) pooling layers.
 

Classes

class  Pooling3dIndices
 Data structure representing the dimension for convolution kernels. More...
 
class  Pooling3dKernelSizes
 Data structure representing the size of the three-dimensional subtensor. More...
 
class  Pooling3dPaddings
 Data structure representing the number of data elements to implicitly add to each size of the three-dimensional subtensor on which pooling is performed. More...
 
class  Pooling3dParameter
 Class that specifies parameters of the pooling layer. More...
 
class  Pooling3dStrides
 Data structure representing the intervals on which the subtensors for pooling are selected. More...
 

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