Today we’re joined by Josh Tobin, Co-Organizer of the machine learning training program Full Stack Deep Learning, and more recently, the founder of a stealth startup. We had the pleasure of sitting down with Josh prior to his presentation of his paper Geometry-Aware Neural Rendering at NeurIPS. This work looks to build upon DeepMind’s “Neural scene representation and rendering,” with the goal of developing implicit scene understanding. We discuss challenges, the various datasets used to train his model, and the similarities between variational autoencoder training and his process.  The complete show notes for this episode can be found at twimlai.com/talk/360.