Autoencoders, Explained From Scratch

Understanding the Complex and Making it Simple

If you’ve spent any time around machine learning, you’ve probably heard the word autoencoder. It sounds technical. Maybe even intimidating.

But at its core, an autoencoder is built around a very human idea:

Take something complex, compress it into a simpler form, then try to rebuild it from that simplified version.

That’s it.