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Weekly Machine Learning #1

1/1週の更新。教育リソースがたくさんあるので、新年の学び始めに良いです。 デザイナーの方などに向けた、初心者向けのRNN講座とJavaScript実装UC Berkeleyの強化学習講座NLP論文百


January 8 · Issue #1 · View online
All change is not growth, as all movement is not forward. Ellen Glasgow


  • デザイナーの方などに向けた、初心者向けのRNN講座とJavaScript実装
  • UC Berkeleyの強化学習講座
  • NLP論文百本ノック
  • Python Data Science HandbookのJupyter Notebookリポジトリ
  • NIPSのGANチュートリアル
  • アプリケーション開発者のための機械学習入門(宣伝)

Recurrent Neural Network Tutorial for Artists | 大トロ
CS 294 Deep Reinforcement Learning, Spring 2017
[1701.00160] NIPS 2016 Tutorial: Generative Adversarial Networks
100 Must-Read NLProc Papers
アプリケーション開発者のための機械学習実践講座 | Udemy
Deep Learning Gallery - a curated list of awesome deep learning projects
Your Year on Kaggle: Most Memorable Community Stats from 2016 | No Free Hunch
Understanding Neural Networks through Representation Erasure
[1610.09585] Conditional Image Synthesis With Auxiliary Classifier GANs
Hot Repositories
PythonDataScienceHandbook/ at master · jakevdp/PythonDataScienceHandbook · GitHub
GitHub - adamwulf/stanford-postagger-objc: This is an Objective-C port of Stanford's Java Part-of-Speech Tagger for iOS
GitHub - kevinhughes27/TensorKart: self-driving MarioKart with TensorFlow
GitHub - deepmind/learning-to-learn: Learning to Learn in TensorFlow
KerasでVGG16を使う - 人工知能に関する断創録
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