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JeffDean's profile
Jeff Dean (@🏡)
Jeff Dean (@🏡)
Jeff Dean (@ 🏡)
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@JeffDean

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Jeff Dean (@ 🏡)Verified account

@JeffDean

Senior Fellow & SVP, Google AI (Research and Health). Co-designer/implementor of software systems like @TensorFlow, MapReduce, Bigtable, Spanner, ..

research.google.com/people/jeff
Joined September 2017

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    Jeff Dean (@ 🏡)‏Verified account @JeffDean 14 May 2019

    Jeff Dean (@ 🏡) Retweeted TensorFlow

    Let me distill this for you: nothing beats the sheer pleasure of a smaller model that's nearly as accurate as a larger model. It's less bitty (which ironically makes it smaller), and can also make it a bit edgier.https://twitter.com/TensorFlow/status/1128357442927177730 …

    Jeff Dean (@ 🏡) added,

    TensorFlowVerified account @TensorFlow
    We’re excited to share that weight pruning is now part of the TensorFlow Model Optimization Toolkit! Learn how sparsity can dramatically reduce model sizes with negligible accuracy loss. Read here → https://goo.gle/2vYWBrO  pic.twitter.com/GdngCLKjDa
    9:55 PM - 14 May 2019
    • 86 Retweets
    • 631 Likes
    • Gokula Krishnan Mithun Raikar Heena Raval Siavash Sakhavi J. Amudhavel Vivek Gupta Matt Matt Sauce Rishi
    10 replies 86 retweets 631 likes
      1. Miles Brundage‏ @Miles_Brundage 14 May 2019
        Replying to @JeffDean

        💯

        0 replies 0 retweets 5 likes
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      1. Const‏ @unconst1 14 May 2019
        Replying to @JeffDean

        Nice pun Jeff. Who else got it?

        0 replies 0 retweets 0 likes
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      1. Nova Introvert 醉舞游魂‏ @NovaIntrovert 14 May 2019
        Replying to @JeffDean

        From the legendary Jeff Dean.

        0 replies 0 retweets 0 likes
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      1. Babu Narayanan‏ @serene99 14 May 2019
        Replying to @JeffDean

        :-) unless the smaller model is a little bit more accurate than the larger model , in which case the larger model is indeed bitter..

        0 replies 0 retweets 1 like
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      1. Adrian Brunetto‏ @Mlbot4 15 May 2019
        Replying to @JeffDean

        💯x💯

        0 replies 0 retweets 0 likes
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      1. New conversation
      2. Arc‏ @amArunava 15 May 2019
        Replying to @JeffDean

        Are there any papers or work which shows how less or more robust are these models to adversaries?

        1 reply 0 retweets 0 likes
      3. Jeff Dean (@ 🏡)‏Verified account @JeffDean 15 May 2019
        Replying to @amArunava

        Not that I'm aware of. Maybe @goodfellow_ian might know?

        1 reply 0 retweets 2 likes
      4. Show replies
      1. Brian‏ @rantlab 15 May 2019
        Replying to @JeffDean

        I love SqueezeNet for this reason. 10X smaller than some of the Resnets I've tried with similar results.

        0 replies 0 retweets 0 likes
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      1. Athma‏ @athustheseeker 15 May 2019
        Replying to @JeffDean

        @JeffDean Apart from compression benefits do we get inferencing speed benefits? A sparse matrix needs to be unsparsified and then run right? The number of operations still remain same.

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      1. Ge Yang‏ @EpisodeYang 15 May 2019
        Replying to @JeffDean

        Oh the puns ...

        0 replies 0 retweets 0 likes
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