It makes them really usable. Today, we'll use the Keras deep learning framework to create a convolutional variational autoencoder. We subsequently train it on the MNIST dataset, and also show you what ...

A variational autoencoder (VAE) is a deep neural system that can be used to generate synthetic data. VAEs share some architectural similarities with regular neural autoencoders (AEs) but an AE is not ...

indicating the increased ability to generate protein conformations that have lower potential energy. This ability does not increase further with more complex model structure as shown by the 5-layer ...