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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 May 26

      The distinction between "supervised" and "unsupervised" learning is fundamentally superficial -- an artifact of the semantics of the last couple decades of ML. All learning is guided by an objective (including all forms of ML and all forms of human learning).

      1 reply 105 retweets 691 likes
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    2. François Chollet‏Verified account @fchollet May 26

      What matters to progress towards greater generality in AI is *how* you learn -- for instance, gradient descent with parametric functions vs discrete search over a discrete program space. The supervision objective is an implementation detail. There will always be one anyway.

      1 reply 7 retweets 109 likes
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    3. François Chollet‏Verified account @fchollet May 26

      Now, from the standpoint of doing applied ML, the ability to solve problems without human labeling effort is huge. So unsupervised learning is a practical concept, but one that is theoretically irrelevant. It affects how you use ML, while being orthogonal to ML algorithms.

      1 reply 8 retweets 95 likes
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    4. François Chollet‏Verified account @fchollet May 26

      The important questions, from the applied ML angle, are: 1. What problems can you solve using data reconstruction as your objective? 2. What automatically-generated or passively-collected alternative to human-provided labels can you use to solve task X?

      1 reply 22 retweets 138 likes
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      François Chollet‏Verified account @fchollet May 26

      These are broadly "data science" questions as opposed to algorithmic questions.

      12:36 PM - 26 May 2021
      • 7 Retweets
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      0 replies 7 retweets 89 likes

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