Question

_________ works best for Image Data.

Answer 1

Answer: Autoencoders work best for image data

The output shown in autoencoders is their input. They are used for the input to be reconstructed. Autoencoders are used for the replication of the same input with a different data set. It can face issues like a gradient problem that disappears like other neural networks. The best approach is to retrieve the variational autoencoder from the issue.

Autoencoders are qualified to interpret probability distributions in variational configurations, that are input data models but not input and output features.