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Geoffrey Hinton talk "What is wrong with convolutional neural nets ?"

trwappers · 199.9K views · 2017-04-03 · 1:11:36

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Overview

Geoffrey Hinton gives an MIT talk on what is wrong with convolutional neural networks and introduces his capsules project. The description points to the capsule network papers.

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Recommended as Hinton's own explanation of capsule networks and his critique of pooling in CNNs.

Recommended by 2 HN people across 2 months · HN mentions 2017–2018

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What people said

dr_zoidberg · 2017-11 · Recommendation

Hinton explains the concept of capsules in this video: [VIDEO] Which is a lot better than reading someone tell you about this new idea that is called "capsules" but doesn't go into detail. The only thing is that, when this presentation was given, it seems they hadn't worked much more than MNIST (so the new thing now would be the toys-recognition net). Better source, with date: [LINK] (December 2014, for the lazy).

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bra-ket · 2017-09 · Recommendation

Prof. Hinton has an interesting talk about his new 'capsule' model based on psychology of shape perception: [VIDEO]

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nabla9 · 2018-03 · Reference

I'm certain that AI business will plateau and there will be yet another AI winter without new big breakthroughs in fundamental research. We are currently living in a era where the results from Hinton & Canadian Mafia are still begin adopted and refined. It's just alternating layers of affine transformations and nonlinearity with lots of tricks and improved routing. There needs to be fundamental theoretical breakthrough in every decade or so, and not just refinements and new applications. Hinton made his "What is wrong with convolutional neural nets" speech years ago " [VIDEO] I believe that Hinton's capsule networks type attempts are what we need more. They may not deliver immediately impressive results because fundamental research involves lots of setbacks.

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Video by trwappers, played through YouTube.

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