An autoencoder is composed of a pair of networks, an encoder which takes a raw input and a decoder which reconstructs the input from the encoded vector. If trained properly the encoded vector will contain higher leverl features which can be used in tasks like classification or regression. Most work on autoencoders has focused on images, but can we encode other data? I’ve been working for a while o