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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 25 Oct 2018

      Many people in engineering believe that to understand something, it is necessary and sufficient to have a low-level mathematical description of that thing. That you need to "know the math behind it". In nearly all cases, it is neither sufficient nor at all necessary - far from it

      35 replies 332 retweets 1,161 likes
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    2. François Chollet‏Verified account @fchollet 25 Oct 2018

      My go-to example of this is PCA. If you know how to diagonalize a 5x5 matrix by hand, then you "know the math" behind PCA. But this gives you absolutely no understanding of what PCA is, what it does, and why it works. You need higher-level mental models.

      6 replies 30 retweets 282 likes
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    3. François Chollet‏Verified account @fchollet 25 Oct 2018

      This is almost universally true: to understand something, you need the *right* mental models, that capture what *actually matters* about that thing, not just the lowest-level mathematical description you can find. In most cases, the two are completely orthogonal

      8 replies 64 retweets 329 likes
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    4. François Chollet‏Verified account @fchollet 25 Oct 2018

      The same is true of backprop in deep learning -- knowing how to code up backprop by hand gives you no useful knowledge wrt deep learning, and inversely, developing powerful mental models for deep learning does not in any way require knowing the algorithmic details of backprop

      3 replies 25 retweets 187 likes
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    5. François Chollet‏Verified account @fchollet 25 Oct 2018

      (coming from someone who had to implement backprop a lot in the past, first in C, then in Matlab, then in Numpy)

      7 replies 3 retweets 85 likes
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    6. François Chollet‏Verified account @fchollet 25 Oct 2018

      In addition, if you have the right mental model for something, it is generally easy to work out the algorithmic details on your own when you need them, at least down to a level where you can roll out a working implementation (& it becomes trivial if you can just look up details)

      3 replies 18 retweets 159 likes
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      François Chollet‏Verified account @fchollet 25 Oct 2018

      Similar to how, say, you can always reinvent the Pythagorean theorem on the fly if you think about geometry through the lens of vector products, or how you don't need to memorize the quadratic formula if you understand what an equation is and the general process for solving them

      10:09 PM - 25 Oct 2018
      • 8 Retweets
      • 131 Likes
      • MakingSenseTogether Sara Stephen Blystone Arunkumar Venkataramanan Maxim Leyzerovich shohel rana Siddarth Pai Vidhya Kalaichelvan ☕️ Siddik
      6 replies 8 retweets 131 likes
        1. David T. Weiseth‏ @dtweiseth 25 Oct 2018
          Replying to @fchollet

          I will say a mathematical understanding can be an impediment, one tends to think in terms of the language w/ which we are most familiar, & I believe Einstein started w/ the intuitive, then the mathematics were constructed to support

          0 replies 0 retweets 1 like
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        1. sumeetbudhraja‏ @HyperParameters 25 Oct 2018
          Replying to @fchollet

          Each set of petroleum crude has its own refining requirements. A general purpose refining cannot do justice to each type. Isn't this analogy to your prescription of processing data using formulae in situ, suitable, sir?

          0 replies 0 retweets 1 like
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        1. Susan Groff‏ @SusanGroff1 26 Oct 2018
          Replying to @fchollet

          Some learn from the part to the whole while others learn better from the whole to the part. Some kids learn to read sight words before they know the names and sounds of the letters.

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        1. Alok Damle‏ @alok_damle 26 Oct 2018
          Replying to @fchollet

          Totally agree. With understanding we can learn math. So if math was needed to understand then our brain would have had an unsolvable deadlock.

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        1. Sebastian Szyller‏ @sebszyller 27 Oct 2018
          Replying to @fchollet

          Digging out this thread. It all sort of depends on whether you prefer top-down or bottom-up approach to learning.

          0 replies 0 retweets 0 likes
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