Hi all,
I was not able to find any sort of information about difference in algorithms/layers of DNN when we train the model for different hours. For example: What is the approach if I train model for 2 hours, 10 hours or 24 hours.
In fact, what does it changes for the model if you train it for 1 hour or 24 hours?
Is there any guideline that says (for example): If you have 50 images per label (for a binary classification) you should train your model for at least 2h? And so on.
Thanks a lot for your help.
Antoine CHABERT.