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https://repo.anaconda.com/archive/ ----- anaconda archive
im2col cython compile: cs231n assignment중
python setup.py build_ext --inplace --compiler=msvc
=======================
pydev updat 후, error내서 warning에 나온대로 실행.
C:\Users\Administrator\.p2\pool\plugins\org.python.pydev.core_7.0.0.201811071319\pysrc\setup_cython.py build_ext --inplace
C:\eclipse\plugins\org.python.pydev.core_7.0.3.201811082356\pysrc\setup_cython.py build_ext --inplace
=======================
tensorflow 설치 오류: tensorflow, protobuf uninstall. 잔여 디렉토리 완전 삭제 후, 다시 tensorflow
=======================
import tensorflow as tf
with tf.name_scope('some_scope1'):
a = tf.Variable(1, 'a')
b = tf.Variable(2, 'b')
c = tf.Variable(3, 'c')
with tf.name_scope('some_scope2'):
d = tf.Variable(4, 'd')
e = tf.Variable(5, 'e')
f = tf.Variable(6, 'f')
h = tf.Variable(8, 'h')
for i in tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES, scope='some_scope'):
print i # i.name if you want just a name
========================================
a few tips to install theano on Windows, 64 bits
http://rosinality.ncity.net/doku.php?id=python:installing_theano
Fundamental of Reinforcement Learning
https://www.gitbook.com/book/dnddnjs/rl/details
================================================
GAN ==> WGAN 설명
https://lilianweng.github.io/lil-log/2017/08/20/from-GAN-to-WGAN.html
==================================================
indent change
pip install reindent ,설치 후 ==> C:\Anaconda3\Lib\site-packages\reindent.py 파일을 다음 파일로 교체
https://github.com/certik/python-3.2/blob/master/Tools/scripts/reindent.py
>python -m reindent 파일.py ==> indent 4로 바뀜
==================================================
seq2seq
http://suriyadeepan.github.io/2016-12-31-practical-seq2seq/
==================================================
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모두의 연구소
http://whydsp.org/237
김성훈교수 강의자료 pdf등
http://hunkim.github.io/ml/
LSTM: http://colah.github.io/posts/2015-08-Understanding-LSTMs/
LSTM: https://deeplearning4j.org/kr/lstm#code
+++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 유트브 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
=======================================================
인용을 위한 표현:
Inspired from Andrej Karpathy's char-rnn.
Based on pix2pix by Isola et al.