Autoencoders are artificial neural networks that can be trained to encode data (e.g. images) into a compressed representation and then trained to reconstruct the encoded data back to its original shape (& size).

Autoencoders can be designed for various applications including, denoising, image colorization, and anomaly detection. This tutorial provides and explanation of autoencoders and their uses.

The code from this video is available at: https://github.com/bnsreenu/python_fo...