[CS231N] 0강

Standford University의 CS231n: Convolutional Neural Networks for Visual Recognition (Spring 2017)강의를 들으면서 공부한 내용을 블로그에 포스팅할 계획이다.

참고한 자료 ⛓️‍💥

1. CS231n 강의 동영상

https://youtube.com/playlist?list=PLC1qU-LWwrF64f4QKQT-Vg5Wr4qEE1Zxk&si=KHBmWOifxG5cmhIi

Stanford University CS231n, Spring 2017

2. 공식 GitHub

:과제가 올라와 있어서, 최대한 풀면서 넘어가려고 한다. 

https://github.com/cs231n/cs231n.github.io

GitHub - cs231n/cs231n.github.io: Public facing notes page

3. 한국어 자막

: 최대한 자막 없이 영어 그대로를 들을 예정이다.

https://github.com/visionNoob/CS231N_17_KOR_SUB

GitHub - visionNoob/CS231N_17_KOR_SUB: CS231N 2017 video subtitles translation project for Korean Computer Science students

 

계획표 🌏

정리하는대로 업데이트 할 예정

No	Lecture	URL
1	Introduction to Convolutional Neural Networks for Visual Recognition
2	Image Classification
3	Loss Functions and Optimization
4	Introduction to Neural Networks
5	Convolutional Neural Networks
6	Training Neural Networks I
7	Training Neural Networks II
8	Deep Learning Software
9	CNN Architectures
10	Recurrent Neural Networks
11	Detection and Segmentation
12	Visualizing and Understanding
13	Generative Models
14	Deep Reinforcement Learning