Fill in the form below to view the case study from Jason Yosinski, Machine Learning Research Scientist at Uber & Co-founder Uber AI Labs.
AI Neuroscience - Can We Understand the Neural Networks We Train?
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.
