Uses of Interface
org.deeplearning4j.parallelism.trainer.Trainer

Packages that use Trainer

Package	Description
org.deeplearning4j.parallelism
org.deeplearning4j.parallelism.factory
org.deeplearning4j.parallelism.trainer

Uses of Trainer in org.deeplearning4j.parallelism

Fields in org.deeplearning4j.parallelism declared as Trainer

Modifier and Type	Field and Description
protected Trainer[]	ParallelWrapper.zoo

Uses of Trainer in org.deeplearning4j.parallelism.factory

Methods in org.deeplearning4j.parallelism.factory that return Trainer

Modifier and Type	Method and Description
Trainer	DefaultTrainerContext.create(int threadId, org.deeplearning4j.nn.api.Model model, int rootDevice, boolean useMDS, ParallelWrapper wrapper, org.deeplearning4j.nn.conf.WorkspaceMode mode, int averagingFrequency) Create a Trainer based on the given parameters
Trainer	SymmetricTrainerContext.create(int threadId, org.deeplearning4j.nn.api.Model model, int rootDevice, boolean useMDS, ParallelWrapper wrapper, org.deeplearning4j.nn.conf.WorkspaceMode mode, int averagingFrequency) Create a Trainer based on the given parameters
Trainer	TrainerContext.create(int threadId, org.deeplearning4j.nn.api.Model model, int rootDevice, boolean useMDS, ParallelWrapper wrapper, org.deeplearning4j.nn.conf.WorkspaceMode workspaceMode, int averagingFrequency) Create a Trainer based on the given parameters

Uses of Trainer in org.deeplearning4j.parallelism.trainer

Subinterfaces of Trainer in org.deeplearning4j.parallelism.trainer

Modifier and Type	Interface and Description
interface	CommunicativeTrainer

Classes in org.deeplearning4j.parallelism.trainer that implement Trainer

Modifier and Type	Class and Description
class	DefaultTrainer Trains datasets using a standard in memory parameter averaging technique.
class	SymmetricTrainer This trainer implementation does parallel training via gradients broadcasts.