For example, I trained a cnn model on five of mnist digits (0,1,2,3,4) and now I am trying to add another class (5) on already trained model. I don't want to use the data of (0,1,2,3,4) classes again, I just want to update the model with the data of the new class (5). Is it possible?
What I have done is that: I defined a 10-class cnn model but I give only (0,1,2,3,4) digits to train it. The testing a digit from (0,1,2,3,4) classes gave plausible results. I saved the model Later I load the model as by 'get_value() - set_value()'. Then I give a dataset that only contains class(5) data. But in final, my model params didn't update itself as I was expected. Thanks in advance, -- --- You received this message because you are subscribed to the Google Groups "theano-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
