The second part of the autoencoder generates a cleaned version of the input. The first part of an autoencoder is called the encoder component, and the second part is called the decoder. To use an ...

An autoencoder is an unsupervised learning model designed to encode input data into a lower-dimensional feature representation through the encoder, and then reconstruct the original input data as ...