// the find
campusx-official/100-days-of-deep-learning
Code repo of my YouTube course on Deep Learning
A notebook-by-notebook companion repo for a Hindi-language YouTube deep learning course, walking from perceptrons up through loss functions and presumably into neural nets. It's for absolute beginners following along with the videos, not for anyone looking for a standalone reference.
Each day's folder pairs a notebook with its own readme, so you can find the specific concept without scrubbing through a monolithic file. The early days (perceptron, perceptron trick, hinge loss) build concepts incrementally rather than jumping straight to framework calls, which matches how the course evidently teaches theory before API usage.
No requirements.txt or environment file, so reproducing the notebooks depends on guessing versions of numpy/pandas/sklearn. Dead since February 2022 with no commits since, and the repo is unusable without the companion YouTube videos, since the readmes are thin and the notebooks assume narration. Folder names with spaces (e.g. 'day5 - Perceptron Loss Function') are inconsistent with the plain 'day3', 'day4' naming, which will break anyone scripting against the paths.