MATH 522
Mathematical Foundations of Deep Learning
Mathematics
College of Physical and Mathematical Sciences
Course Description
Mathematics necessary to understand how deep neural networks are formulated and designed. Analyzing the stability, generalizability, and potential extension of neural networks to new datasets.
When Taught
Winter.
Grade Rule
Standard Grade Rule: A B C D E I
Min
3
Fixed
3
Fixed
3
Fixed
0
Other Prerequisites
Math 213, Math 215, and Math 314. C S 111 or equivalent. Math 402 or 431 or equivalent.
Title
Compute
Learning Outcome
Students will be able to write programs and utilize existing libraries to implement deep neural networks.
Title
Explore
Learning Outcome
Students will explore recent progress in analyzing the stability, generalizability, and potential extension of neural networks to new datasets.
