> It's a waste of time to teach TensorFlow or teach the trendiest neural network architecture at school. The knowledge becomes irrelevant in a few years, and it

> It's a waste of time to teach TensorFlow or teach the trendiest neural network architecture at school. The knowledge becomes irrelevant in a few years, and it's fairly easy to pick it up by reading docs/papers if you know the fundamentals. Well, kind of. You teach one or two instances of such things as a case study in how to learn a framework. Usually Software Engineering courses are the best place to do this. The point is, your ML course should probably not be spending any time on things like pytorch. A sophomore level engineering course should have already taught students how to go through the process of learning a new framework.