@ -218,7 +218,7 @@ If required change pathes in the file `build\darknet\x64\data\voc.data`
More information about training by the link: http://pjreddie.com/darknet/yolo/#train-voc
**Note:** If during training you see `nan` values in some lines then training goes well, but if `nan` are in all lines then training goes wrong.
**Note:** If during training you see `nan` values for `avg` (loss) field - then training goes wrong, but if `nan` is in some other lines - then training goes well.
## How to train with multi-GPU:
@ -317,7 +317,7 @@ It will create `.txt`-file for each `.jpg`-image-file - in the same directory an
* Also you can get result earlier than all 45000 iterations.
**Note:** If during training you see `nan` values in some lines then training goes well, but if `nan` are in all lines then training goes wrong.
**Note:** If during training you see `nan` values for `avg` (loss) field - then training goes wrong, but if `nan` is in some other lines - then training goes well.
### How to train tiny-yolo (to detect your custom objects):