SqueezeBrains SDK 1.13
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Results of a training epoch. More...
#include <sb.h>
Data Fields | |
float | loss |
SVL loss. More... | |
float | validation_loss |
SVL validation loss. More... | |
float | accuracy |
SVL accuracy metric. More... | |
float | validation_accuracy |
SVL validation accuracy metric. More... | |
Results of a training epoch.
Used only by Deep Surface and Deep Cortex projects.
float sb_t_svl_res_epoch::accuracy |
SVL accuracy metric.
SVL accuracy of the epoch. The value is computed by a weighted average of all the batch accuracies in the epoch.
According to the project type, the accuracy calculation is different:
where counters are considered at image level.
where counters are considered at pixel level.
float sb_t_svl_res_epoch::loss |
SVL loss.
Average batch training loss of the epoch.
It is a measure of the error between predictions and ground truth values on training images at the end of an epoch.
The value is available only in global results.
float sb_t_svl_res_epoch::validation_accuracy |
SVL validation accuracy metric.
SVL validation accuracy of the epoch. The value is computed by a weighted average of all validation batch accuracies in the epoch.
If sb_t_svl_dl_par::validation_percentage = 0, it is equal to zero.
See sb_t_svl_res_epoch::accuracy for metric calculation.
float sb_t_svl_res_epoch::validation_loss |
SVL validation loss.
Average batch validation loss of the epoch.
It is a measure of the error between predictions and ground truth values on validation images at the end of an epoch. If sb_t_svl_dl_par::validation_percentage = 0, it is equal to zero.
The value is available only in global results.