Mathematical Principles of Artificial Intelligence

Catalog description

Examines the mathematical principles of artificial intelligence. Provides a survey of core topics, including optimization and automatic differentiation. Explores how neural network architectures can be generalized to learn from structured data, such as graphs and manifolds, by leveraging principles of symmetry and geometric invariance.