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François Chollet: Limits of Deep Learning | AI Podcast Clips



Lex Fridman

This is a clip from a conversation with Francois Chollet from Sep 2019. New full episodes every Mon & Thu and 1-2 new clips or a new non-podcast video on all other days. You can watch the full conversation here: https://www.youtube.com/watch?v=Bo8MY4JpiXE
(more links below)

Podcast full episodes playlist:
https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4

Podcasts clips playlist:
https://www.youtube.com/playlist?list=PLrAXtmErZgOeciFP3CBCIEElOJeitOr41

Podcast website:
https://lexfridman.com/ai

Podcast on iTunes:
https://apple.co/2lwqZIr

Podcast on Spotify:
https://spoti.fi/2nEwCF8

Podcast RSS:
https://lexfridman.com/category/ai/feed/

Note: I select clips with insights from these much longer conversation with the hope of helping make these ideas more accessible and discoverable. Ultimately, this podcast is a small side hobby for me with the goal of sharing and discussing ideas. For now, I post a few clips every Tue & Fri. I did a poll and 92% of people either liked or loved the posting of daily clips, 2% were indifferent, and 6% hated it, some suggesting that I post them on a separate YouTube channel. I hear the 6% and partially agree, so am torn about the whole thing. I tried creating a separate clips channel but the YouTube algorithm makes it very difficult for that channel to grow unless the main channel is already very popular. So for a little while, I’ll keep posting clips on the main channel. I ask for your patience and to see these clips as supporting the dissemination of knowledge contained in nuanced discussion. If you enjoy it, consider subscribing, sharing, and commenting.

François Chollet is the creator of Keras, which is an open source deep learning library that is designed to enable fast, user-friendly experimentation with deep neural networks. It serves as an interface to several deep learning libraries, most popular of which is TensorFlow, and it was integrated into TensorFlow main codebase a while back. Aside from creating an exceptionally useful and popular library, François is also a world-class AI researcher and software engineer at Google, and is definitely an outspoken, if not controversial, personality in the AI world, especially in the realm of ideas around the future of artificial intelligence.

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10 thoughts on “François Chollet: Limits of Deep Learning | AI Podcast Clips
  1. This is a clip from a conversation with Francois Chollet from Sep 2019. New full episodes every Mon & Thu and 1-2 new clips or a new non-podcast video on all other days. If you enjoy it, subscribe, comment, and share. You can watch the full conversation here: https://www.youtube.com/watch?v=Bo8MY4JpiXE
    (more links below)

    Podcast full episodes playlist:
    https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4

    Podcasts clips playlist:
    https://www.youtube.com/playlist?list=PLrAXtmErZgOeciFP3CBCIEElOJeitOr41

    Podcast website:
    https://lexfridman.com/ai

    Podcast on iTunes:
    https://apple.co/2lwqZIr

    Podcast on Spotify:
    https://spoti.fi/2nEwCF8

    Podcast RSS:
    https://lexfridman.com/category/ai/feed/

  2. One question might be if we have logic circuit analogs in the brain, or it's just neural networks down to the bottom, arranged in some particular architecture. If we don't , then how can we develop logic and symbol manipulation but a neural network should not.

  3. You guys are on the cutting edge. I feel like in 2 years from now we will look back on this video and know that this was the documented turning point of thought

  4. even if we manage to understand the human brain, and develop our own computer version of a human brain … dont we still need to put it through 12 years of school?

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