4. Variational autoencoders (VAEs)_ "2. AI Algorithm Introduction"

Variational autoencoders (VAEs)

Extract key structures and features from the original data set and compress them into the latent space.

Based on the data features in the latent space, new samples similar to the original data are generated, taking into account possible diversity.

Detailed explanation of the video principle: Variational Autoencoder:

https://www.youtube.com/watch?v=CbRp9iIRyrQ&t=259s