MyCaffe  1.12.2.41
Deep learning software for Windows C# programmers.
MyCaffe.trainers.IxTrainerRNN Interface Reference

The IxTrainerRL interface is implemented by each RL Trainer. More...

Inheritance diagram for MyCaffe.trainers.IxTrainerRNN:
MyCaffe.trainers.IxTrainer MyCaffe.trainers.rnn.simple.TrainerRNN< T > MyCaffe.trainers.rnn.simple.TrainerRNNSimple< T >

Public Member Functions

float[] Run (int nN, PropertySet runProp)
 Run a number of 'nN' samples on the trainer. More...
 
byte[] Run (int nN, PropertySet runProp, out string type)
 Run a number of 'nN' samples on the trainer. More...
 
- Public Member Functions inherited from MyCaffe.trainers.IxTrainer
bool Initialize ()
 Initialize the trainer. More...
 
bool Shutdown (int nWait)
 Shutdown the trainer. More...
 
bool Train (int nN, ITERATOR_TYPE type, TRAIN_STEP step)
 Train the network. More...
 
bool Test (int nN, ITERATOR_TYPE type)
 Test the newtork. More...
 

Detailed Description

The IxTrainerRL interface is implemented by each RL Trainer.

Definition at line 278 of file Interfaces.cs.

Member Function Documentation

◆ Run() [1/2]

float[] MyCaffe.trainers.IxTrainerRNN.Run ( int  nN,
PropertySet  runProp 
)

Run a number of 'nN' samples on the trainer.

Parameters
nNspecifies the number of samples to run.
runPropOptionally specifies properties to use when running.
Returns
The result collection containing the action is returned.

Implemented in MyCaffe.trainers.rnn.simple.TrainerRNN< T >, and MyCaffe.trainers.rnn.simple.TrainerRNNSimple< T >.

◆ Run() [2/2]

byte[] MyCaffe.trainers.IxTrainerRNN.Run ( int  nN,
PropertySet  runProp,
out string  type 
)

Run a number of 'nN' samples on the trainer.

Parameters
nNSpecifies the number of samples to run.
runPropOptionally specifies properties to use when running.
typeSpecifies the output data type returned as a raw byte stream.
Returns
The run results are returned in the same native type as that of the CustomQuery used.

Implemented in MyCaffe.trainers.rnn.simple.TrainerRNN< T >, and MyCaffe.trainers.rnn.simple.TrainerRNNSimple< T >.


The documentation for this interface was generated from the following file: