Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5
Class representing a backward layer of neural network. More...
| BackwardLayer | ( | DaalContext | context, |
| BackwardLayer | other | ||
| ) |
Constructs the backward layer by copying input objects and parameters of another backward layer
| context | Context to manage backward layer |
| other | Backward layer to be used as the source to initialize the input objects and parameters of the backward layer |
| BackwardLayer | ( | DaalContext | context | ) |
Constructs the backward layer
| context | Context to manage the backward layer |
| BackwardLayer clone | ( | DaalContext | context | ) |
Returns the newly allocated backward layer with a copy of input objects and parameters of this backward layer
| context | Context to manage backward layer |
| void dispose | ( | ) |
Releases memory allocated for the backward layer of the neural network
Implements Disposable.
| BackwardInput getLayerInput | ( | ) |
Returns the structure that contains input object of the backward layer
| Parameter getLayerParameter | ( | ) |
Returns the structure that contains parameters of the backward layer
| BackwardResult getLayerResult | ( | ) |
Returns the structure that contains result of the backward layer
For more complete information about compiler optimizations, see our Optimization Notice.