dnorman: deep learning*

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  1. A really nice overview of the state of AI and machine learning - several things have happened recently to push extremely rapid development of effective ML. Deep learning, algorithms, hardware and libraries, and access to high quality data have all pushed the field forward since ~2010.
    https://medium.com/mmc-writes/the-fou...telligence-ai-ff5e7fffcae1#.2njqaqgii
  2. Via OLDaily

    If you are a newcomer to the Deep Learning area, the first question you may have is "Which paper should I start reading from?"

    Here is a reading roadmap of Deep Learning papers!
    The roadmap is constructed in accordance with the following four guidelines:

    From outline to detail
    From old to state-of-the-art
    from generic to specific areas
    focus on state-of-the-art
    You will find many papers that are quite new but really worth reading.

    I would continue adding papers to this roadmap.
    https://github.com/songrotek/Deep-Learning-Papers-Reading-Roadmap

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