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.
Want to check another podcast?
Enter the RSS feed of a podcast, and see all of their public statistics.