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.

0 Comments