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입문자를 위한 인공지능 공부에 도움이 될 사이트 본문

etc

입문자를 위한 인공지능 공부에 도움이 될 사이트

S00ahKim 2019. 7. 14. 00:03

+++AI 전문가들의 제언+++
(민현석 님) https://facebook.com/255834461424286_479160352425028
(김남주 님) https://facebook.com/255834461424286_455382238136173
(Andrew Ng 님) https://www.quora.com/How-can-beginners-in-mac…/…/Andrew-Ng…


+++한글 유튜브 강좌+++
(남세동 님) https://www.youtube.com/watch
(sung kim님) https://www.youtube.com/watch


+++공부 커리큘럼+++
(영어 자료 기준) https://facebook.com/255834461424286_464930173848046
(한글 자료 기준)
 https://www.facebook.com/groups/TensorFlowKR/permalink/485458151795248/

 

+++논문 효과적으로 읽는 법+++
https://facebook.com/255834461424286_463498977324499

 

+++Numpy로 짜 보는 딥러닝+++
(코드 링크) https://github.com/cthorey/CS231

 

+++PRML책정리+++
(페북 링크1) https://facebook.com/255834461424286_454547954886268
(자료 링크1) http://norman3.github.io/prml/
(페북 링크2) 책 2장 식(2.117)까지 ipython으로 정리
https://facebook.com/255834461424286_556808447993551

 

+++E-book 정리+++
(e-book 링크 1) http://neuralnetworksanddeeplearning.com/
(페북 링크) https://facebook.com/255834461424286_451098461897884

(e-book 링크 2) https://leonardoaraujosantos.gitbooks.io/artificial-inte…/…/
(pdf 링크) https://www.gitbook.com/…/le…/artificial-inteligence/details

(e-book 링크 3) https://github.com/HFTrader/DeepLearningBook
(pdf 링크) https://github.com/…/DeepLe…/raw/master/DeepLearningBook.pdf

 

+++고등학생도 이해하는 딥러닝+++

(페북 링크) https://www.facebook.com/groups/TensorFlowKR/permalink/443348236006240/
원본자료링크가 깨졌다고 하니 아래링크로 받으세요.
(자료 링크) https://drive.google.com/…/fol…/0BwwNF6qNzpOLNXA2OGZ4TW9NNEE

 

+++케라스와 함께 익히는 딥러닝 개념들+++
(자료 링크)(국문) https://tykimos.github.io/Keras/lecture/

 

+++딥러닝 기본 개념들 쉽게 정리된 자료+++
(자료 링크)(국문) https://www.slideshare.net/yongho/ss-79607172
(자료 링크)(국문) https://www.slideshare.net/HeeWonPark11/ss-80653977
(페북 링크)(국문)https://facebook.com/555066658167730

 

+++딥러닝의 기초부터 큰 획을 그었던 논문들까지 익히기+++
(영상 링크)(국문) http://www.edwith.org/deeplearningchoi/
(자료 링크) https://github.com/sjchoi86/dl_tutorials_10weeks

 

+++CNN초보자가 만든 초보자 가이드+++
(페북 링크) https://facebook.com/255834461424286_425564241117973
(자료 링크) https://www.slideshare.net/leeseungeun/cnn-vgg-72164295
(랩탑에서 TF설치기) https://www.slideshare.net/leeseungeun/tensorflow-tensorflow
(랩탑에서 TF tutorial) https://www.slideshare.net/lee…/tensorflow-tutorial-72217416

 

+++딥러닝에 필요한 수학과목들+++
(영어 강좌) https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw
(과목 리스트 추천) https://www.quora.com/How-do-I-learn-mathematics-for-machin… 
(영어 강좌 임성빈 추천) https://www.youtube.com/user/mathematicalmonk?app=desktop 
(한글 강좌 JaeJun Yoo 추천) https://www.youtube.com/channel/UCfrr-1XiyqQTh-r3CI2VP2A
(확률통계 cookbook) https://github.com/…/relea…/download/0.2.4/stat-cookbook.pdf

 

+++딥러닝 자료 총 망라+++
(블로그 링크) https://handong1587.github.io/categories.html

 

+++딥러닝 기초부터 응용까지 TF로 배워보기+++
[최성준 님 자료] 
(페북 링크) https://facebook.com/255834461424286_465906737083723
(자료 링크) https://github.com/sjchoi86/dl_tutorials_10weeks
(코드 링크) https://github.com/sjchoi86/advanced-tensorflow

[안남혁 님 자료] https://github.com/nmhkahn/deep_learning_tutorial
[김진중 님 자료] https://github.com/golbin/TensorFlow-Tutorials
[이도엽 님 자료] https://github.com/LeeDoYup/Deep-Learning-Tensorflow-Basic

 

+++한글판 딥러닝 논문 서베이+++
2012년-2016년에 발간된 이미지 관련 논문들 약 60개 정리
(페북 링크) https://facebook.com/255834461424286_472432669764463
(자료 링크) https://brunch.co.kr/@kakao-it/65

 

+++자주 언급되는 테크블로그 리스트+++
1) (원문) http://colah.github.io/
(번역)) https://brunch.co.kr/@chris-song/
2) http://www.inference.vc/
3) http://wiseodd.github.io/techblog/
4) http://jaejunyoo.blogspot.com/search/label/kr
5) https://www.facebook.com/deeplearningtalk/
6) http://bcho.tistory.com/category/빅데이타/머신러닝
7) https://brunch.co.kr/magazine/kakaoaireport

 

 

 

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