Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5

Classes

Contains classes for training the model of the neural network.

Classes

class  DistributedPartialResult
 Provides methods to access partial results obtained with the compute() method of the neural network algorithm in the distributed processing mode on step 2. More...
 
class  DistributedPartialResultId
 Available identifiers of partial results of the neural network training algorithm. More...
 
class  DistributedStep1Local
 Provides methods for neural network model-based training in the distributed processing mode. More...
 
class  DistributedStep1LocalInput
 Input objects for the K-Means algorithm. Represents input objects for the algorithm on local nodes. More...
 
class  DistributedStep1LocalInputId
 Available identifiers of input objects for the neural network model based training. More...
 
class  DistributedStep2Master
 Computes neural network training in the distributed processing mode on the master node. More...
 
class  DistributedStep2MasterInput
 Input objects for the neural networks training algorithm in the second step of the distributed processing mode. Represents input objects for the algorithm on the master node. More...
 
class  DistributedStep2MasterInputId
 Available identifiers of input objects for the neural network training algorithm on the master node. More...
 
class  PartialResult
 Provides methods to access partial results obtained with the compute() method of the neural network training algorithm in the distributed processing mode. More...
 
class  PartialResultId
 Available identifiers of partial results of the neural network training algorithm. More...
 
class  TrainingBatch
 Provides methods for neural network model-based training in the batch processing mode. More...
 
class  TrainingInput
 Input object for the training layer More...
 
class  TrainingInputCollectionId
 Available identifiers of input objects for the neural network model based training. More...
 
class  TrainingInputId
 Available identifiers of input objects for the neural network model based training. More...
 
class  TrainingMethod
 Computation methods for the neural networks model based training. More...
 
class  TrainingModel
 Class Model object for the training stage of neural network. More...
 
class  TrainingParameter
 Class representing the parameters of neural network. More...
 
class  TrainingResult
 Provides methods to access result obtained with the compute() method of the neural network training algorithm. More...
 
class  TrainingResultId
 Available identifiers of result of the neural network model based training. More...
 
class  TrainingTopology
 Represents a collection of neural network layer descriptors. More...
 

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