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The Benefit of Bottlenecks in Evolving Artificial Intelligence with David Ha - #535
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Generalization Problems With Thin Latent Space Models
There is a line of work on looking at a generalization problems with thin laten space models. Rather than using, using a latent for to do this bottle neck, the idea is we will only allow an agent to see ten patches, for instance, and its decision is solely based on those ten patches. Howevever number of patches we want to it is condelike biological vision. For or fuvia type system ter we have to read.
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