Hi Paulo!



 paraujo:

Now, I have a different dataset that supplements the previous one. Should I load the pretrained weights and keep training in the new dataset?


If your new data is basically the same as your original dataset – if the
data is basically just more of the same but you didn’t have it when you
first started training – you should keep the pre-trained weights and then
continue training with the combined dataset.
If your new dataset if for a similar, but distinct problem, and you want
to build a model for the new problem, keep the pre-trained weights to
get a head start, but only train with the new dataset.
(I can’t think of a non-contrived version of this use case where I would
train two separate models and combine them.)
Best.
K. Frank