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NeuroTIC 0.0
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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 |
Structure to hold training dataset and parameters.
| data_t** traindata_t::in |
Input data for training samples.
| precision_t traindata_t::learning_rate |
Learning rate for weight updates.
| attempts_t traindata_t::max_attempts |
Maximum number of training iterations.
Referenced by backpropagation().
| data_t** traindata_t::results |
Expected output results for training samples.
| sample_t traindata_t::samples |
Number of training samples.
Referenced by backpropagation(), and newtraindata().
| precision_t traindata_t::tolerance |
Error tolerance for training convergence.
Referenced by backpropagation().