A categorical semantics for neural networks
- đ¤ Speaker: Charlotte Aten, University of Denver
- đ Date & Time: Friday 24 November 2023, 14:00 - 15:00
- đ Venue: Lecture Theatre 2, Computer Laboratory
Abstract
In recent work on discrete neural networks, I considered such networks whose activation functions are polymorphisms of finite, discrete relational structures. The general framework I provided was not entirely categorical in nature but did provide a steppingstone to a categorical treatment of neural nets which are definitionally incapable of overfitting. In this talk I will outline how to view neural nets as categories of functors from certain multicategories to a target multicategory. Moreover, I will show that the results of my PhD thesis allow one to systematically define polymorphic learning algorithms for such neural nets in a manner applicable to any reasonable (read: functorial) finite data structure.
Series This talk is part of the Logic and Semantics Seminar (Computer Laboratory) series.
Included in Lists
- All Talks (aka the CURE list)
- bld31
- Cambridge talks
- Computing and Mathematics
- Department of Computer Science and Technology talks and seminars
- Interested Talks
- Lecture Theatre 2, Computer Laboratory
- Logic and Semantics Seminar (Computer Laboratory)
- Martin's interesting talks
- School of Technology
- tcw57âs list
- Trust & Technology Initiative - interesting events
- yk373's list
- yk449
Note: Ex-directory lists are not shown.
![[Talks.cam]](/static/images/talkslogosmall.gif)

Charlotte Aten, University of Denver
Friday 24 November 2023, 14:00-15:00