machinelearningnanodegree/stanford-cs231
Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).
This project provides a curated set of resources to help you learn about Convolutional Neural Networks for visual recognition. It brings together course materials like lectures, assignments, and notes from Stanford's CS231n, along with supplementary blogs and articles. It's for students enrolled in Udacity's Machine Learning Engineer Nanodegree or anyone looking to deepen their understanding of how computers 'see' and interpret images.
263 stars. No commits in the last 6 months.
Use this if you are a student or self-learner aiming to master convolutional neural networks for image and video analysis.
Not ideal if you are looking for a plug-and-play machine learning library or a tool to immediately deploy models without understanding the underlying concepts.
Stars
263
Forks
117
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 03, 2017
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/machinelearningnanodegree/stanford-cs231"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Related frameworks
mbadry1/CS231n-2017-Summary
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i...
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
Halfish/cs231n
斯坦福 cs231n 作业代码实践