A variational autoencoder (VAE) is a deep neural system ... A typical "1" digit from the training data is displayed. Next, the demo trains a VAE model using the 389 images. The demo concludes by using ...

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 ...