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Downvote because while it is true that the math is important, a framework like PyTorch allows for more idiomatic python code. Tensorflow is in its own world being mostly written in C++ and trying to cater to multiple client languages. That means the same math (same networks) will be coded differently in the two libraries/frameworks.

Are you always this eager to douse someone's enthusiasm for trying a new technology?

Machine Learning is about the math but is also about the code (including frameworks), and most of the time also about the domain specific contours of the problem. (ime)