description
빅데이터 연합 동아리 Tobig's(투빅스) 13&14기 이미지 심화 세미나 리뷰 깃북입니다. (2020.12 현재 세미나 진행 중에 있으며, 강의리뷰는 순차적으로 업로드 될 예정입니다.)

CS231n 2017 Spring Review

CS231n: Convolutional Neural Networks for Visual Recognition

1. Syllabus

2. Lecture Videos

3. Original Gitbook Link

Lecture	Reviewer
[Lecture 5] Convolutional Neural Networks	강미경
[Lecture 6] Training Neural Networks I	이유민
[Lecture 7] Training Neural Networks II	고유경
[Lecture 9] CNN Architectures	강의정
[Lecture 10] Recurrent Neural Networks	이혜민
[Lecture 11] Detection and Segmentation	이홍정
[Lecture 12] Visualizing and Understanding	강의정
[Lecture 13] Generative Models	서아라
[Lecture 14] Deep Reinforcement Learning	이정은
[Lecture 16] Adversarial Examples and Adversarial Training	서아라
[MIT] Introduction to Human-Centered Artificial Intelligence (AI)	고유경
[UCSanDiego] 3D Deep Learning Tutorial	이홍정
[Microsoft Research] An Introduction to Graph Neural Networks	이혜민
[Paper Review 1] An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale	이유민
[Paper Review 2] You Only Look Once Unified, Real-Time Object Detection	강미경