Autoencoders
Linear Digressions - A podcast by Ben Jaffe and Katie Malone
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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.
