Hi everyone,
I was wondering if we can train a model on day 1, save it, then do another training on day 20 but on additional data without losing what the model has already learned. Is it something we can do with PyTorch? If yes, can someone provide a very simple example, like from saving the model to reload, keeping in mind that we can’t lose what the model has already learned?
I hope I was clear, Thank you.
Medhy