In his exclusive case study, Jason Yosinski discusses the growing gap between neural networks we build & train and the competitivity that we can understand.

Case Study Highlights

• How do these neural nets actually work?
• What concepts do they learn en route to their goals?
• Collection of current research aimed at shrinking this gap
• Approaches including interactive model exploration, optimization, and visualization

If you want to go deeper, join us at Auto.AI Europe 2019. Take a look at the agenda for more information.