[P] Deep learning tutorial from first principles
I’ve recently started a series of Instagram posts showing how we can derive many of the inner workings of deep learning from first principles. I find too many deep learning courses that gloss over fundamentals, and it’s probably due to the industry’s prioritization to churn out workers to train models and produce results quickly. But if we want to master our craft and move behind equations and code with ease, I believe we need to understand the fundamental principles.
Another reason why I’m doing this is because I’m a firm believer of Feynman’s “What I cannot create, I do not understand.” This project is also a way for me to solidify my understanding of deep learning.
Check it out: