fromthetensor

Why we included this project

The repo lays out a ten-week course that starts at tensors and backpropagation and ends at diffusion models, organized around the old advice that the way to learn ML is to pick a paper and implement it. Each architecture, LeNet through AlexNet and ResNet, comes with a Jupyter notebook and a linked lecture, so you can watch, code, and check your work without hunting for resources. The weekly structure makes it a workable self-study syllabus rather than a pile of loosely related tutorials. It suits someone with basic Python who wants a solid run through the fundamentals, and it works just as well as a quick refresher for anyone who has built vision models before.