C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1
Contains classes for training the model of the neural network. More...
References | |
Batch | |
Distributed | |
Namespaces | |
daal::algorithms::neural_networks::training | |
Contains classes for training the model of the neural network. | |
Classes | |
class | Topology |
Class defining a neural network topology - a set of layers and connection between them - on the training stage. More... | |
enum | InputId { data, groundTruth } |
Available identifiers of input objects for the neural network model based training. More... | |
enum | InputCollectionId { groundTruthCollection = lastInputId + 1 } |
Available identifiers of input collection objects for the neural network model based training. More... | |
enum | Step1LocalInputId { inputModel = lastInputCollectionId + 1 } |
Available identifiers of input objects for the neural network model based training. More... | |
enum | Step2MasterInputId { partialResults } |
Partial results from the previous steps in the distributed processing mode required by the second distributed step of the algorithm. More... | |
enum | Step1LocalPartialResultId |
Available identifiers of partial results of the neural network training algorithm required by the first distributed step. More... | |
enum | Step2MasterPartialResultId |
Available identifiers of partial results of the neural network training algorithm equired by the second distributed step. More... | |
enum | ResultId { model = 0 } |
Available identifiers of result of the neural network model based training. More... | |
enum InputCollectionId |
enum InputId |
Enumerator | |
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data |
Training data set |
groundTruth |
Ground-truth results for the training data set |
enum Step2MasterInputId |
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