A Conceptual Introduction to Capsule Networks

from Linear Digressions Hosted by Katie Malone

Convolutional nets are great for image classification... if this were 2016. But it's 2018 and Canada's greatest neural networker Geoff Hinton has some new ideas, namely capsule networks. Capsule nets are a completely new type of neural net architecture designed to do image classification on far fewer training cases than convolutional nets, and they're posting results that are competitive with much more mature technologies. In this episode, we'll give a light conceptual introduction to capsule nets and get geared up for a future episode that will do a deeper technical dive.

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A Conceptual Introduction to Capsule Networks

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This episode is 14 minutes long.

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This episode was published on April 9, 2018.

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