An Introduction to Autoencoders

Our minds extract and compress knowledge from the world, which we reuse to face other similar situations. One of the critical aspects of that process is that we don’t store all the details of the actual event: just the essential information that allows us to recreate it.

What if you could use Machine Learning to do the same thing? Could boil down knowledge into a reduced data space to be used later? That is what Autoencoders do.

This is a companion discussion topic for the original entry at