PyCon 2017 Conference tutorials and talks (https://us.pycon.org/2017/).
This post is authored by Roope Astala, Senior Program Manager, and Sudarshan Raghunathan, Principal Software Engineering Manager, at Microsoft. We're excited to announce the Microsoft Machine Learning library for Apache Spark – a library designed to make data scientists more productive on Spark, increase the rate of experimentation, and leverage cutting-edge machine learning techniques – including
Tesla hires deep learning expert Andrej Karpathy to lead Autopilot vision Tesla has hired deep learning and computer vision expert Andrej Karpathy in a key Autopilot role. Karpathy most recently held a role as a researcher at OpenAI, the artificial intelligence nonprofit backed by Elon Musk. He has an extensive background in AI-related fields, having completed a PhD at Stanford University in compu
As an example of the kind of improvements T2T can offer, we applied the library to machine translation. As you can see in the table above, two different T2T models, SliceNet and Transformer, outperform the previous state-of-the-art, GNMT+MoE. Our best T2T model, Transformer, is 3.8 points better than the standard GNMT model, which itself was 4 points above the baseline phrase-based translation sys
Deep learning yields great results across many fields, from speech recognition, image classification, to translation. But for each problem, getting a deep model to work well involves research into the architecture and a long period of tuning. We present a single model that yields good results on a number of problems spanning multiple domains. In particular, this single model is trained concurrentl
Exceltable¶ Module sphinxcontrib.exceltable is an extension for Sphinx, that adds support for including spreadsheets, or part of them, into Sphinx document. It has been tested to run on both Python 2.7 and 3.4 This is document describes how to install, use and contribute to the development of the sphinxcontrib.exceltable module. Setup¶ Here you can find the minimum steps for installation and usage
Sphinx extensions for embedded plots, math and more¶ Sphinx is written in python, and supports the ability to write custom extensions. We’ve written a few for the matplotlib documentation, some of which are part of matplotlib itself in the matplotlib.sphinxext module, some of which are included only in the sphinx doc directory, and there are other extensions written by other groups, eg numpy and i
Sphinx には Sphinx 拡張(Sphinx extension)と呼ばれるプラグイン機能があります。 Sphinx 拡張を使うとドキュメントを書くのがより便利になったり、 ドキュメントの表現がより豊富になったりします。 今日はその Sphinx 拡張の中から僕がよく使うもの、便利そうで使ってみたいものを それぞれいくつかピックアップしてご紹介します。 sphinx.ext.todo Sphinx に同梱されている拡張モジュールで、ドキュメントに ToDo を書き残すことができます。 有効にするには conf.py に以下の記述を追加します。 # sphinx.ext.todo モジュールを読み込む extensions += ['sphinx.ext.todo'] # ToDo 項目を表示する (デフォルトは表示しない; False) todo_include_todos = T
Measuring the Progress of AI Research (Archived)¶ This project was active during 2017 and hasn't been updated since then. It collected problems and metrics/datasets from the AI research literature, with the intent to track progress on them. The page is preserved for historical interest but should not be considered up-to-date. You can use this Notebook to see how things are progressing in specific
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