[CS231n 정리] 11. Generative Models

소개

• 이 글은 단지 CS231n를 공부하고 정리하기 위한 글입니다.
• Machine Learning과 Deep Learning에 대한 지식이 없는 초보입니다.
• 내용에 오류가 있는 부분이 있다면 조언 및 지적 언제든 환영입니다!

참조

• CS231n 2017 Lecture 11. 유튜브 강의

• CS231n 2017 Lecture 13. 강의 노트

• CS231n 2020 Lecture 11. 강의 노트

• CS231 2017 Lecture 13. 한국어 자막

• https://younghk.netlify.app/posts/cs231n-lec11-generative-models/

• https://zzsza.github.io/data/2018/06/11/cs231n-generative-models/

• https://strutive07.github.io/2019/05/05/cs231n-Lecture-13-1-Generative-Models.html

• https://strutive07.github.io/2019/05/05/cs231n-Lecture-13-2-Generative-Models.html

• https://strutive07.github.io/2019/05/05/cs231n-Lecture-13-3-Generative-Models.html

• https://strutive07.github.io/2019/05/05/cs231n-Lecture-13-4-Generative-Models.html

• https://strutive07.github.io/2019/05/05/cs231n-Lecture-13-5-Generative-Models.html

• https://ahjeong.tistory.com/2

• https://ahjeong.tistory.com/3

• https://leechamin.tistory.com/122

• https://deepinsight.tistory.com/121

• https://ratsgo.github.io/generative%20model/2017/12/20/gan/

• https://sonofgodcom.wordpress.com/2018/06/10/generative-model-%EC%8A%A4%EC%95%95%EC%A3%BC%EC%9D%98-%EC%8B%A4%EC%A0%84%ED%94%84%EB%A1%9C%EC%A0%9D%ED%8A%B82/

개요

< Generative Models >

To Be Continue...