How to demonstrate (or teach) learning theory using PyTorch
Hi, There’s a lot of beautiful theory on function approximation, for example, is quite readable.
AjayTalati
I’d be interested in implementing them in PyTorch - I’ll be doing some DL theory teaching/demos over the summer. This would also be very helpful to others who are giving DL demos/teaching. Thanks a lot for your help, Aj
AjayTalati
In general, to give you my completely honest and regularized opinion, teaching something like “Learning Real and Boolean Functions” is way more valuable to teach in numpy than in pytorch. I wont pretend, numpy is much more accessible. Unless you need to really teach / showcase a gradient based learning method (SVM-SGD?) or teach GPU based whatever, you can maybe just stick to numpy.
smth
Best regards Thomas
tom
Bhavya_Bhatt