DeepLearningNotes

Why we included this project

Most people who pick up Goodfellow and Bengio's Deep Learning textbook, the one with the flowers on the cover, stall somewhere in the math. This repo collects handwritten, scanned walkthrough notes, written in Chinese, that follow the book chapter by chapter: linear algebra and probability foundations first, then feedforward, convolutional, and recurrent networks, and finally the harder topics. When you are trying to verify your own derivation, flipping to the matching page and seeing the steps worked out by hand is a real time-saver, and the images and tables make it easy to jump straight to whichever section is giving you trouble. It is a personal study companion rather than production tooling, but for anyone working through coursework or prepping for deep learning interviews, that is exactly the right shape. One caveat: the notes have not been updated since mid-2020, so what you see is where the author stopped.