Neural Networks and Deep Learning, Visually (3Blue1Brown)

3Blue1Brown's visual explanation of how neural networks work. It opens with what a neural network is, then explains gradient descent and how networks learn, backpropagation intuitively and through its calculus, and continues to large language models, transformers and attention. It suits students who know a little calculus and linear algebra and want to understand the mathematics behind modern AI before writing code. Afterwards, take CS50's Introduction to AI with Python or Stanford CS231n.