Machine Learning, Molecular Design, AI, Transformers, Variational Autoencoder.
to Variational Autoencoders”, I quote the diagram as follows: https://arxiv.org/pdf/1906.02691.pdf In terms of loss function, the VAE is optimized based on two terms: reconstruction loss and KL divergence. The former measures how well the decoder maps latent features back to the original data,