On Sun, May 12, 2024 at 9:39 AM Matt Mahoney <mattmahone...@gmail.com> wrote:
> ... The problem with KAN alone is you have a lot fewer parameters to > adjust, so you need a lot more neurons to represent the same function space. > Ironically, one of the *weaknesses* described in the recent KAN paper is that it has a tendency to over-fit. ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T1af6c40307437a26-M5427be223e5428cca1ae8af3 Delivery options: https://agi.topicbox.com/groups/agi/subscription
