The Different Types of Auto Encoders

An auto encoder is a pair of neural networks in which one network encodes an original source of data into a neural network representation. And the paired network then decodes it back to its original image format. Auto encoding is used for things such as image denoising and compressing images, maybe generating new data from original training data,. identifying anomalies and patterns in the data. Facial recognition, machine translation, sentiment analysis. Maybe if you're trying to describe and caption images or similar related tasks.