Hello,
I have one main feature extractor x which has two tasks A and B. I have two different datasets(images) d1 and d2 which are highly unbalanced(based on number of batches). say 5000 images in d1 and 100000 in d2.
I need to pass d1 to x+A and then d2 x+B separately and backpropogate
How do i design the data loader to train the network??