Modeling and Generating Variational Autoencoders using EmbeddedMontiArcDL

Neural networks have become a popular tool to model artificial intelligence and one important task is the creation of new content. This is an attempt of mimicking creativity that finds a wide range of use from digital arts (generating fascinating images) to the chemistry industry (creating new molecules). Variational Autoencoders are neural network architectures that can be used for this task and this video shows how we can use the EmbeddedMontiArcDL language toolchain to model VAEs and their variants effortlessly as well as deploy them in applications.