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Topos and Stacks for Understanding Semantic Functioning of Deep Neural Networks

Offered By: IMSA via YouTube

Tags

Mathematics Courses Artificial Intelligence Courses Machine Learning Courses Semantic Analysis Courses Deep Neural Networks Courses

Course Description

Overview

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Explore the intersection of advanced mathematics and deep neural networks in this illuminating conference talk. Delve into the application of topos theory and stack theory to understand the semantic functioning of deep neural networks. Gain insights from Daniel Bennequim of the Institut de Mathématiques de Jussieu as he presents his research via Zoom at the AI and Pure Mathematics Conference. Discover how these complex mathematical concepts can shed light on the inner workings of artificial intelligence systems and potentially advance the field of machine learning.

Syllabus

Daniel Bennequim, Institut de Mathématiques de Jussieu


Taught by

IMSA

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