I would roughly classify them based on use cases: * If you are working on research such as optimization or other improvements on the algorithms of training neu

I would roughly classify them based on use cases: * If you are working on research such as optimization or other improvements on the algorithms of training neural networks, PyTorch is a better option as it is (in my experience) much more understandable and easily modified. * If you are experimenting with network architectures and aren't going to be mucking around with the internals (e.g., developing a new optimization algorithm), Tensorflow is a better option.