Training a Variational Autoencoder Training a VAE involves two measures of similarity (or equivalently measures of loss). First, you must measure how closely the reconstructed output matches the ...

The model takes the input and simultaneously feeds it into the quantum layer and the classical layer for parallel processing before combining the outputs of both layers to produce the final output ...

Deep variational autoencoder for proteomics mass spectrometry data analysis. Research. Journal Research Funder the Ministry of Science and Technology of the People's Republic of China, ...