If you’re a book learner, you might appreciate “Inside Deep Learning” by Edward Raff. Raff’s text uses PyTorch but really works at it from the ground up with math + code. Sebastian Raschka has some free online content as well, and his recent book covers DL from ch. 11+ — e.g., you’ll build a neural network from scratch and move on from there (also PyTorch-focused).

Glad to hear others’ comments as well as their reactions to these specific suggestions.