by Michele Laurelli
A neural network trained to reconstruct its input, learning compressed representations in the process.
Autoencoders consist of an encoder that compresses input to a latent representation and a decoder that reconstructs the original input. Used for dimensionality reduction, denoising, and feature learning.
Dimensionality reduction
Image denoising
Anomaly detection