They don't just "forget" that information can come back at a later time if you continue to train.
So basically any time a model is trained you need to check it's entire memory not just a small part.
They don't just "forget" that information can come back at a later time if you continue to train.
So basically any time a model is trained you need to check it's entire memory not just a small part.