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Earlier tensorflow was more preferred in industry and pytorch in academics but now these things are not relevant, pytorch is evolving while tensorflow has already established itself in industry
I agree with optum1. A lot of existing deeplearning codes are on tensorflow. But, I would prefer pytorch anyday for experimentation. It is evolving very fast as well. Another plus point is you have to write a few extra lines to move data and models in out of gpu, make custom batches etc. It keeps you closer to the action instead of just a model.fit()
Choose any one it hardly matters.
Doesn't matter much. You will find both versions for pretrained models. Aslo you can build in anyone.
It doesn't matter. You can choose whatever suit best for you.
PyTorch if you see most of the white paper implementations is written in PyTorch