Provides methods for neural network model-based training in the batch processing mode.
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template<typename algorithmFPType, Method method>
class daal::algorithms::neural_networks::training::interface1::Distributed< step2Master, algorithmFPType, method >
- Template Parameters
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algorithmFPType | Data type to use in intermediate computations for neural network model-based training, double or float |
method | Neural network training method, training::Method |
- Enumerations
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- References
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Constructs neural network by copying input objects and parameters of another neural network
- Parameters
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[in] | other | An algorithm to be used as the source to initialize the input objects and parameters of the algorithm |
Returns a pointer to the newly allocated neural network with a copy of input objects and parameters of this neural network
- Returns
- Pointer to the newly allocated layer
virtual int getMethod |
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| ) |
const |
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inlinevirtual |
Returns method of the algorithm
- Returns
- Method of the algorithm
DistributedPartialResultPtr getPartialResult |
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inline |
Returns structure that contains computed partial results of the neural network algorithm
- Returns
- Structure that contains partial results of the neural network algorithm
Returns the structure that contains the results of the neural network algorithm
- Returns
- Structure that contains the results of the neural network algorithm
services::Status initialize |
( |
const services::Collection< size_t > & |
dataSize, |
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const training::Topology & |
topology |
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) |
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inline |
Initializes the neural network topology
- Parameters
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[in] | dataSize | Collection of sizes of each dimension of input data tensor |
[in] | topology | Neural network topology |
- Returns
- Status of computations
services::Status setPartialResult |
( |
const DistributedPartialResultPtr & |
partialResult | ) |
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inline |
Registers user-allocated memory to store partial results of the neural network algorithm
- Parameters
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[in] | partialResult | Structure for storing partial results of the neural network algorithm |
- Returns
- Status of computations
The documentation for this class was generated from the following file: