1. EachPod

Autoencoders

Author
[email protected] (Ben Jaffe and Katie Malone)
Published
Mon 12 Mar 2018
Episode Link
https://soundcloud.com/linear-digressions/autoencoders

Autoencoders are neural nets that are optimized for creating outputs that... look like the inputs to the network. Turns out this is a not-too-shabby way to do unsupervised machine learning with neural nets.

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