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목록머신러닝 (100)
민서네집
Deep Learning the Stock Markethttps://medium.com/@TalPerry/deep-learning-the-stock-market-df853d139e02 nzw0301/anything2vec.listhttps://gist.github.com/nzw0301/333afc00bd508501268fa7bf40cafe4e
Neural networks for algorithmic trading. Part One — Simple time series forecasting https://medium.com/@alexrachnog/neural-networks-for-algorithmic-trading-part-one-simple-time-series-forecasting-f992daa1045a#.qspipwieg
Deep Q-learning for Stock Tradinghttp://hallvardnydal.github.io/new_posts/2015-07-21-deep_q/주식 트레이딩에 강화학습을 응용한 내용의 블로그 (관련 소스)https://github.com/deependersingla/deep_trader Reinforcement Learning + FX Trading Strategyhttp://nekopuni.holy.jp/2014/08/pythonreinforcement-learning-fx-trading-strategy/ pysystemtradepysystem trade is the open source version of my own backtesting engine that implements..
Pip installation on Windows https://www.tensorflow.org/versions/r0.12/get_started/os_setup.html#pip-installation-on-windows Anaconda Python 3.5 version 64비트용을 설치한다. https://www.continuum.io/downloads#windows pip install --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-0.12.0rc0-cp35-cp35m-win_amd64.whl 설치 도중 아래와 같은 에러가 발생하면... Collecting setuptools (from protobuf==3.1.0..
Anyone Can Learn To Code an LSTM-RNN in Python (Part 1: RNN) https://iamtrask.github.io/2015/11/15/anyone-can-code-lstm/ neural network (1) - 신경망 용어 간략정리 + python 코드 소개 http://m.blog.naver.com/acwboy/220614586502 세상에 있는 (거의) 모든 머신러닝 문제 공략법 http://keunwoochoi.blogspot.kr/2016/08/blog-post.html?m=1
모두의 연구소[논문반/논문세미나]Perceptual Losses for Real-Time Style Transfer and Super-Resolution http://www.modulabs.co.kr/index.php?mid=DeepLAB_library&page=1&document_srl=5567
모두연의 강화학습 튜토리얼 https://tensorflowkorea.wordpress.com/2016/09/22/모두연의-강화학습-튜토리얼/ Deep Reinforcement Learning http://lmb.informatik.uni-freiburg.de/lectures/seminar_brox/seminar_ss16/AsyncRL.pdf SanghyukChun's BlogMachine Learning 스터디 (20) Reinforcement Learning http://sanghyukchun.github.io/76/ Playing Atari With Deep Reinforcement Learning (NIPS 2013)http://sanghyukchun.github.io/90/ Fundamental..
Batch Normalization 설명 및 구현 https://shuuki4.wordpress.com/2016/01/13/batch-normalization-설명-및-구현/
5 free e-books for machine learning mastery http://www.infoworld.com/article/3115334/artificial-intelligence/5-free-e-books-for-machine-learning-mastery.html