Geometry of Neural Networks (Talk)
- Guido Montúfar
- Max Planck Institute for Mathematics in the Sciences
Deep Learning is one of the most successful machine learning approaches to artificial intelligence. In this talk I discuss the geometry of neural networks as a way to study the success of Deep Learning at a mathematical level and to develop a theoretical basis for making further advances, especially in situations with limited amounts of data and challenging problems in reinforcement learning. I present a few recent results on the representational power of neural networks and then demonstrate how to align this with structures from perception-action problems in order to obtain more efficient learning systems.
Details
- 24 May 2017 • 2:30 - 3:30
- N4.022 (EI Dept. meeting room / 4th floor, north building)
- Intelligent Systems