Applications of Deep Neural Networks with Keras
Deep learning is a group of exciting new technologies for neural networks. Through a combination of advanced training techniques and neural network architectural components, it is now possible to create neural networks that can handle tabular data, images, text, and audio as both input and output. Deep learning allows a neural network to learn hierarchies of information in a way that is like the f
Regular Expression Matching with a Trigram Index or How Google Code Search Worked
Regular Expression Matching with a Trigram Index or How Google Code Search Worked Russ Cox rsc@swtch.com January 2012 Introduction In the summer of 2006, I was lucky enough to be an intern at Google. At the time, Google had an internal tool called gsearch that acted as if it ran grep over all the files in the Google source tree and printed the results. Of course, that implementation would be fairl
Papers with Code - Browse the State-of-the-Art in Machine Learning
Browse State-of-the-Art 10,955 benchmarks 4,908 tasks 131,075 papers with code
[翻訳] コードレビューについて
この記事は::..: glen.nu :.: ramblings :.: on code review :.::の意訳記事です。@9len氏の許可を受けて投稿しています。誤り・修正などがありましたら、@iwashi86までご連絡いただけますと幸いです。 This article originally appeared in English at :..:: GLEN D SANFORD :.: RAMBLINGS :.: ON CODE REVIEW ::..: and has been translated with @9len’s permission for posting to this blog in Japanese. この記事は2014年3月に書いている。Twitterでユーザ検索チームを私が率いていたころの話だ。この記事は、コードレビューに関するセオリー・アプローチを体系化
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Runnable - Discover Everything through Code
We’re thrilled to announce the Runnable team is joining MuleSoft. This is an incredible opportunity for us to expand our vision of empowering developers to test changes without the infrastructure bottleneck; we couldn’t be more excited to work with MuleSoft to continue our journey. As apart of this transition, we’re shutting down service for all Runnable accounts. To those we had the joy of servin
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