斯坦福李飞飞深度学习课程的课后作业，有3个部分Assignment #1: Image Classification, kNN, SVM, Softmax, Neural NetworkAssignment #2: Fully-Connected Nets, Batch Normalization, Dropout, Convolutional NetsAssignment #3: Image Captioning with Vanilla RNNs, Image Captioning with LSTMs, Network Visualization, Style Transfer, Generative Adversarial Networks官方资源（讲义、作业等）地址：http://cs231n.github.io/网易课程地址：http://study.163.com/course/courseMain.htm?courseId=1003223001

cs231n learning notes

MIT-CS231n Self Study

Lecture materials and assignment of GDSC KU AI Junior Session

practice for cs231n study

CS231n-Study

Store my homework and study notes for Stanford cs231n class

I am looking for opportunity and challenge where I can develop and apply my skills in machine learning and data visualization. Now I enjoy every single day studying deep learning from great courses, Stanford's CS231n and Stanford's CS224d. I blog my experience at https://mlxai.github.io

[Not started]Group study reading papers based on Stanford CS231n course by AI Robotics KR

CS231n_study

self study cs231n

Notes from studying CS231n

No description available

No description available

No description available

No description available

a record of a student in scut studying cs231n and other cv(or computer science) lessons

Understanding the basics of neural network from a 2D toy example using tutorial - http://cs231n.github.io/neural-networks-case-study/

🐮 CUAI Computer Vision Study Materials with CS231n (2020.03 - 2020.06) 👀

Group study records on Stanford University CS231n course by AI Robotics KR. Jul 2019 ~ Nov 2019

10기 CS231n 스터디

BOAZ 19/20th Winter study, CS231n repository

Sungkonhoe Univ AI Honor Conference CS231n study

study cs231n

Study CS231n

cs231n study

cs231n assignment2017 study

CS231n study log

cs231n 2019 study

CS231n study & exercise