I have every publicly available Reddit comment for research. ~ 1.7 billion comments @ 250 GB compressed. Any interest in this? I am currently doing a massive analysis of Reddit's entire publicly available comment dataset. The dataset is ~1.7 billion JSON objects complete with the comment, score, author, subreddit, position in comment tree and other fields that are available through Reddit's API. I
Have you ever wondered how Shazam works? I asked myself this question a few years ago and I read a research article written by Avery Li-Chun Wang, the confounder of Shazam, to understand the magic behind Shazam. The quick answer is audio fingerprinting, which leads to another question: what is audio fingerprinting? When I was student, I never took a course in signal processing. To really understan
Although TeX is a well-matured technology, various derived TeX engines and related packages have been developed and they are still advancing every day. I will give an outline of the history of TeX and the features of recent TeX-related technologies. I will focus especially on Japanese typesetting and graphics generation.
In at least one battle between man and machine, the man is winning. He is Kazushige Goto, a research associate at the Texas Advanced Computing Center (TACC) at The University of Texas at Austin. Goto can make supercomputers run faster and more efficiently and he can do it better than complex programs developed for that purpose. Four of the 11 fastest supercomputers in the world use Goto’s code to
はじめに そもそもDQNが作りたかったわけじゃなくて、他の目的でChainerを使いたかったのでその練習にDQNを書いたんですが、せっかくだし公開しようと思いました 公開しました 。またどうせ公開するなら、この機会にこれ(Q学習+関数近似)関連で持っている知識をついでに整理しようと思ってまとめました。 ニュース記事とかNatureとかNIPSの論文だけ読むと、DQN作ったDeepmind/Googleすげー!!!って感覚になりそうですが、強化学習的な歴史的経緯を考えると強化学習+深層学習になった、むしろかなり当然の成り行きで生まれた技術であることがわかります。(ATARIのゲームを人間以上のパフォーマンスでプレイするというのがビジュアル的にわかりやすかった$\leftrightarrow$問題設定が良かったというのもあります。) この記事ではNIPSとNatureの以下の2本の論文 ・ V
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