WClasses
AMATH 446 - Introduction to Mathematics of Deep Learning
This course introduces the basic concepts of deep learning in a mathematically rigorous fashion. Topics include mathematical definitions of deep neural networks, approximation theory, gradient-based optimization, and generalization analysis.
Prerequisites
One of ECE203, PHYS267, STAT206, STAT220,STAT230, STAT240, SYDE212; One of ECE206, MATH207, MATH212, MATH217, MATH227, MATH237, MATH247, SYDE211; One of MATH114, MATH115, MATH136, MATH146, MATH225
Corequisites
None
Antirequisites
None