[probably_wrong]

For what it's worth, here's my experience:

My adviser decided (wisely) that we all needed to learn NN, and we settled on Tensorflow. That went... poorly. I've told this before: the Seq2Seq tutorial was designed for an older version of TF, and it triggered a bug that was not fixed because that way to do Seq2Seq was deprecated and a new tutorial was coming "soon". The "tutorial" was also just a code dump with barely any comments.

Eventually we had new people coming in with even less theoretic background than ours (we had read papers for at least 6 months), and that's when we realised it would not work at all. So we organised a 1-week hackathon with Pytorch, and we've been using it ever since.

[Al-Khwarizmi]

Similar story here. I got bitten by that very seq2seq "tutorial", lost a lot of time with it, and haven't used TensorFlow ever since except for reproducing other people's experiments. It's Keras, Torch, DyNet or PyTorch for me.