Curriculum: AI & Math for Discovery
From Geometry and Randomness to AI and Drug Design. Join our interdisciplinary study group exploring the convergence of pure mathematics and cutting-edge applications.
Establish the mathematical foundation by exploring how complex analysis provides insights into neural network optimization and gradient flows.
Learning Objectives
- Master complex differentiability and the Cauchy-Riemann equations
- Understand holomorphic functions and their properties
- Connect complex gradients to backpropagation in neural networks
- Implement basic complex-valued neural networks
Test Your Knowledge
Resources
math core
applied paper
coding