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fchollet's profile
François Chollet
François Chollet
François Chollet
Verified account
@fchollet

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François CholletVerified account

@fchollet

Deep learning @google. Creator of Keras. Author of 'Deep Learning with Python'. Opinions are my own.

United States
fchollet.com
Joined August 2009

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    1. François Chollet‏Verified account @fchollet 26 Dec 2018

      As a developer, your job isn't about how much code you write, it's about how effectively you solve problems. The best code is code you don't write & maintain -- because you're using off-the-shelf solutions, or because you're picking solutions that involve fewer subproblems.

      26 replies 659 retweets 2,056 likes
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    2. François Chollet‏Verified account @fchollet 26 Dec 2018

      One example. Your boss says "we need to detect when someone is cooking in the kitchen" A bad dev would buy a camera, spend $10,000 on data collection, and spend weeks building a custom CNN-LSTM architecture using a low-level library where they manage their own training loop.

      3 replies 26 retweets 154 likes
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    3. François Chollet‏Verified account @fchollet 26 Dec 2018

      A good dev would buy a few $5 temperature sensors, spend a couple hours on data collection, train a simple logistic regression with sklearn, and be done in an afternoon. This dev also ends up with a far more reliable and maintainable system, with far less privacy implications.

      5 replies 36 retweets 299 likes
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      François Chollet‏Verified account @fchollet 26 Dec 2018

      (A *really* bad dev would also spend an extra 2 weeks trying out their idea about using GANs for data augmentation in their activity classification CNN-LSTM, needlessly burning several MWh in the process.)

      6:11 AM - 26 Dec 2018
      • 20 Retweets
      • 215 Likes
      • Sir.Me M. Selim A.(he/him/his) Varun senya Akshay Chalana Janne P Hukkinen Fangda Han Akanksha Sonkar Stefan Bachhofner
      9 replies 20 retweets 215 likes
        1. Aakash Kumar Nain‏ @A_K_Nain 26 Dec 2018
          Replying to @fchollet

          Totally agreed. One of the few things that has started to irritate me now a days is that no matter how simple the problem is, people start with this "Let's collect data for few weeks, then we can build a deep learning model on top of it." 🤦‍♂️

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        1. Alan Hamlyn‏ @AlanHamlyn 26 Dec 2018
          Replying to @fchollet

          I think the only slack I would cut to developers is that their bosses often do a terrible job of defining the problem they need to solve. This often leads to over-engineering solutions. Most of that could be solved by asking questions and resisting saying yes to everything.

          0 replies 0 retweets 3 likes
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        1. Xavier Mouto[N]-Dubosc‏ @dascritch 26 Dec 2018
          Replying to @fchollet

          won't work in my case : the kitchen can get warm the the sun shines, and my friend may get a low corporal temperature.

          0 replies 0 retweets 1 like
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        1. Hasib Zunair‏ @hasibzunair 26 Dec 2018
          Replying to @fchollet

          Some people nowadays fancy over-engineering, even if it does not solve the actual problem itself. 😞

          0 replies 0 retweets 0 likes
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        1. C.J.‏ @cjIsALock 26 Dec 2018
          Replying to @fchollet

          Thank you for this thread. I have been criticized more than once for my simplistic models made with sklearn yet they perform both better and faster than those critical of me. Just because they do not use deep learning does not make them bad!

          0 replies 0 retweets 7 likes
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        2. Sean A. Cantrell, PhD‏ @errantdata 26 Dec 2018
          Replying to @fchollet

          And then we have an 80% success rate and a horrible user experience. The boss is happy because 80% is better than 0% and okays it. Clients of the software then either learn it's unreliable and don't use it, or trust it too much and let the kitchen burn down.

          1 reply 0 retweets 1 like
        3. Sean A. Cantrell, PhD‏ @errantdata 26 Dec 2018
          Replying to @errantdata @fchollet

          I think the only time under-engineering is acceptable is when it's for an ancillary feature (e.g. extracting text from pictures for indexing on a typically text-based search platform). If it's for the main product, I think the "just get 90% there" business mentality is bad.

          0 replies 0 retweets 1 like
        4. End of conversation
        1. gravemind‏ @kyle_alekzandr 26 Dec 2018
          Replying to @fchollet

          These are things I need to know. I really need to find a mentor.

          0 replies 0 retweets 0 likes
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        2. David T. Weiseth‏ @dtweiseth 26 Dec 2018
          Replying to @fchollet

          Yaaahoooza someone is picking a fight 🤨👊

          1 reply 0 retweets 0 likes
        3. David T. Weiseth‏ @dtweiseth 26 Dec 2018
          Replying to @dtweiseth @fchollet

          Motion detectors might be better, but agree sensors matter more than code algorithms, more & better sensors solve lots of tough code problems, coders may not always be best problem solvers 🤨 if you have a hammer... nailed it 😜

          0 replies 0 retweets 0 likes
        4. End of conversation

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