I'm not deep in the field at all, I did about four hours of Andrew Ng's deep learning course, and have played around a little bit with Pytorch and Python (altho

I'm not deep in the field at all, I did about four hours of Andrew Ng's deep learning course, and have played around a little bit with Pytorch and Python (although more to install LLMs and Stable Diffusion than to do Pytorch directly, although I did that a little too). I also did a little more reading and playing with it all, but not that much. Do I understand the Python? Somewhat. I know a relu is a rectified linear unit, which is a type of activation function. I have seen einsum before but forget what it is. For the classical diagram I know what the nodes, edges and weights are. I have some idea what the formulas do, but not totally. I'm unfamiliar with tensor diagrams. So I have very little knowledge of this field, and I have a decent grasp of some of what it means, a vague grasp on other parts, and tensor diagrams I have little to no familiarity with.