Our next meetup, planned on 11th June 2020, will cover two of the most famous and recent generative models, Variational Autoencoders and Generative Adversarial Networks, at an introductory level with the main mathematical insights. The theory behind the techniques and how they work will be presented, together with practical applications and the relative code.
The event will consist of two presentations and a final session for questions and technical time.
– First Talk: Variational Autoencoders (VAEs) by Marco Odore, Riccardo Fino and Stefano Samele, Data Scientists at Agile Lab, with a computer scientist, statistical and mathematical background respectively.
In this talk will be shown how to train a Variational Autoencoder on an image dataset and will be given a glimpse of its interpretation through visual arithmetics.
– Second Talk: Generative Adversarial Networks (GANs), by Luca Ruzzola, a deep learning researcher at boom.co, working on applied Deep Learning for photo enhancement.
In this talk we’re gonna go back through the development of Generative Adversarial Networks (GANs), the challenges in using them and the amazing results that they can produce, from an introductory perspective.