A variational autoencoder (VAE) is a deep neural system that can be used ... Next, the demo trains a VAE model using the 389 images. The demo concludes by using the trained VAE to generate a synthetic ...

The performance of ML models, however, relies heavily on the quality and ... we propose a self-augmentation strategy for improving ML-based device modeling using variational autoencoder (VAE)-based ...