Kang-Jay/CS231n-2025
Personal solutions, learning notes and model architecture diagrams for Stanford CS231n (Spring 2025).
This project provides comprehensive study materials for Stanford's CS231n Deep Learning for Computer Vision course. It includes personal assignment solutions, detailed chapter notes, and visual model architecture diagrams. It's designed for students, researchers, or anyone independently studying advanced computer vision techniques.
No commits in the last 6 months.
Use this if you are taking or self-studying Stanford's CS231n course and need supplementary learning materials, alternative explanations, or reference implementations for assignments.
Not ideal if you are looking for official course solutions, a general introduction to computer vision, or a direct-use software tool.
Stars
32
Forks
2
Language
Jupyter Notebook
License
—
Category
Last pushed
Sep 28, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Kang-Jay/CS231n-2025"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
mbadry1/CS231n-2017-Summary
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i...
machinelearningnanodegree/stanford-cs231
Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through...
MahanFathi/CS231
Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
jariasf/CS231n
My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition
Burton2000/CS231n-2017
Completed the CS231n 2017 spring assignments from Stanford university