Variational Autoencoders & the Latent Space
Sample new data from a learned distribution.
Beyond Plain Codes
A variational autoencoder, or VAE, does not store one fixed code per input. Instead it learns a smooth, organized latent space you can actually sample from.
Encode to a Distribution
The VAE encoder outputs a mean and a variance instead of a single point. Each input becomes a little cloud of likely latent codes.
mu, logvar = encoder(x)All lessons in this course
- Encoder, Bottleneck & Decoder
- Denoising Autoencoders
- Variational Autoencoders & the Latent Space
- Anomaly Detection by Reconstruction Error