COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |

University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Deep Learning in High Dimension: Neural Network Approximation of Analytic Functions in $L^2(\mathbb{R}^d)$

## Deep Learning in High Dimension: Neural Network Approximation of Analytic Functions in $L^2(\mathbb{R}^d)$Add to your list(s) Download to your calendar using vCal - Christoph Schwab (ETH Zürich)
- Tuesday 16 November 2021, 12:00-12:30
- Seminar Room 1, Newton Institute.
If you have a question about this talk, please contact nobody. MDLW03 - Deep learning and partial differential equations For artificial deep neural networks, we prove expression rates for analytic functions
$f:\mathbb{R} This talk is part of the Isaac Newton Institute Seminar Series series. ## This talk is included in these lists:- All CMS events
- Featured lists
- INI info aggregator
- Isaac Newton Institute Seminar Series
- School of Physical Sciences
- Seminar Room 1, Newton Institute
- bld31
Note that ex-directory lists are not shown. |
## Other listsComputational Neuroscience Richard III The Bridge Pathways to Impact Series at Hughes Hall## Other talksMonsters in the Universe: New Insight into Black Holes How Do Rocks React to Outbursts from the Sun? Railways, divergence, and structural change in nineteenth-century England and Wales Sundry Succulents Break |