[CS231n] Lecture 0

신경망 강의 중 가장 유명한 Stanford University의 CS231n : Convolucional Neural Networks for Visual Recognition 강의를 학회 스터디에서 총 6주동안 진행하게 된다. 해당하는 내용을 정리해두는 목적으로 포스팅을 작성하도록 하겠다.

 

📖 강의 링크 / 과제

CS231n Syllabus(2020) - http://cs231n.stanford.edu/2020/syllabus.html

CS231n 강의영상(2017) - https://youtube.com/playlist?list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv 

 

강의 영상 자체는 2017년 버젼이 가장 최신이나, Assignment의 경우 2020으로 가장 최신 버젼을 활용하여 진행하였다.

 

✍️ 학습 일정

Week	Lecture	URL
Week 1	Introduction to Convolutional Neural Networks	https://viyoung.tistory.com/231
Week 1	Image Classification	https://viyoung.tistory.com/232
Week 1	Loss Functions and Optimization	https://viyoung.tistory.com/233
Week 2	Introduction to Neural Networks
Week 2	Convolutional Neural Networks
Week 2	Training Neural Networks 1
Week 3	Training Neural Networks 2
Week 3	Deep Learning Software
Week 4	CNN Architectures
Week 4	Recurrent Neural Networks
Week 5	Detection and Segmentation
Week 5	Visualizing and Understanding
Week 6	Generative Models
Week 6	Deep Reinforcement Learning

Assgignments	URL
Assignment1	https://viyoung.tistory.com/234
Assignment2
Assignment3

✍️ 과제 제출용 Github

https://github.com/yjdong9697/cs231n_assignment

GitHub - yjdong9697/cs231n_assignment