How to Reduce Image Noises by Autoencoder – Towards Data Science

An autoencoder has two parts: an encoder and a decoder. The encoder reduces the dimensions of input data so that the original information is compressed. The decoder restores the original information from the compressed data. The autoencoder is a neural network that learns to encode and decode automatically (hence, the name). Once learning is done, we can use the encoder and decoder independently.