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    Meetup

    Next Meetup:

    Visual Attribute Transfer through Deep Image Analogy

    For our October meetup we will review an interesting paper about context-dependent style transfer.

    Topic:Visual Attribute Transfer through Deep Image Analogy, by Jing Liao et al.
    Presenter:Duncan Stothers
    Date:Tuesday, October 18th, 2017
    Time:3:00 PM US Pacific Time / 6:00 PM Eastern Time.
    (Check HERE for your timezone.)

    To attend, please register below. Scroll down to view the meetup archives.

    Next Meetup:

    Visual Attribute Transfer through Deep Image Analogy

    For our October meetup we will review an interesting paper about context-dependent style transfer.

    Topic:Visual Attribute Transfer through Deep Image Analogy, by Jing Liao et al.
    Presenter:Duncan Stothers
    Date:Tuesday, October 18th, 2017
    Time:3:00 PM US Pacific Time / 6:00 PM Eastern Time.
    (Check HERE for your timezone.)

    To attend, please register below. Scroll down to view the meetup archives.

    TWiML Online Meetup

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    Meetup Archive

    Learning Long-Term Dependencies with Gradient Descent is Difficult – TWiML Online Meetup #2 – September 2017

    150 150 This Week in Machine Learning & AI

    This is a recording of the TWiML Online Meetup group. This month we discuss the paper “Learning Long-Term Dependencies with Gradient Descent is Difficult” by Yoshua Bengio & company, one of the classic papers on Recurrent Neural Networks. Huge thank you to listener Nikola Kučerová for presenting. Make sure you Like this video, and subscribe…

    Learning From Simulated & Unsupervised Images through Adversarial Training – TWiML Online Meetup #1 – August 2017

    150 150 This Week in Machine Learning & AI

    This is a recap of the first monthly TWiML Online Meetup, held on Aug 16 2017. The focus of the meetup was the CVPR best-paper-award-winner “Learning From Simulated and and Unsupervised Images through Adversarial Training” by researchers from Apple (Link Below). Thanks again to community members Josh Manela who did a great job presenting this…