NeuroTIC 0.0
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traindata_t Struct Reference

Structure to hold training dataset and parameters. More...

#include <nttrain.h>

Data Fields

sample_t samples
 
precision_t learning_rate
 
precision_t tolerance
 
attempts_t max_attempts
 
data_t ** in
 
data_t ** results
 

Detailed Description

Structure to hold training dataset and parameters.

Field Documentation

◆ in

data_t** traindata_t::in

Input data for training samples.

◆ learning_rate

precision_t traindata_t::learning_rate

Learning rate for weight updates.

◆ max_attempts

attempts_t traindata_t::max_attempts

Maximum number of training iterations.

Referenced by backpropagation().

◆ results

data_t** traindata_t::results

Expected output results for training samples.

◆ samples

sample_t traindata_t::samples

Number of training samples.

Referenced by backpropagation(), and newtraindata().

◆ tolerance

precision_t traindata_t::tolerance

Error tolerance for training convergence.

Referenced by backpropagation().


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