HI all,
I would like some advice on best practice on transfer learning.
Supposing i have a dataset A, and i have done some training with that dataset to produce optimum weights W1, If i have an additional dataset B, and i decide to start training from weights W1,  in an effort to produce optimum weights W2 that best maps my data.  is it best to train with just the additional dataset B or should i resume training from W1  with dataset A+B.