C++ API Reference for Intel® Data Analytics Acceleration Library 2019 Update 4
Contains classes for the two-dimensional (2D) pooling layer. More...
References | |
Backward Two-dimensional Pooling Layer | |
Contains classes for backward two-dimensional (2D) pooling layer. | |
Forward Two-dimensional Pooling Layer | |
Contains classes for the forward two-dimensional (2D) pooling layer. | |
Two-dimensional Average Pooling Layer | |
Contains classes for average two-dimensional (2D) pooling layer. | |
Two-dimensional Max Pooling Layer | |
Contains classes for maximum two-dimensional (2D) pooling layer. | |
Two-dimensional Stochastic Pooling Layer | |
Contains classes for stochastic two-dimensional (2D) pooling layer. | |
Namespaces | |
daal::algorithms::neural_networks::layers::pooling2d | |
Contains classes for the two-dimensional (2D) pooling layer. | |
daal::algorithms::neural_networks::layers::pooling2d::interface1 | |
Contains version 1.0 of Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface. | |
Classes | |
struct | KernelSizes |
Data structure representing the size of the 2D subtensor from which the element is computed. More... | |
struct | Strides |
Data structure representing the intervals on which the subtensors for pooling are computed. More... | |
struct | Paddings |
Data structure representing the number of data elements to implicitly add to each side of the 2D subtensor on which pooling is performed. More... | |
struct | Indices |
Data structure representing the indices of the two dimensions on which pooling is performed. More... | |
struct | Parameter |
Parameters for the forward and backward two-dimensional pooling layers. More... | |
For more complete information about compiler optimizations, see our Optimization Notice.