University of Kentucky

MA 721: Topics in Numerical Analysis: Deep Learning

Spring 2019

MWF 1:00 pm - 1:50 pm, CB 343


Instructor

     Dr. Qiang Ye
     Office: 735 Patterson Office Tower
     Phone:257-4653
     Email: qye3 "at" uky . edu
     Office Hours:  MWF 2:00-3:00 pm

Textbook

     There will be no required text, but the following books will be good references:

Syllabus

     In this course, we study a widely applicable class of machine learning methods called deep learning. We will cover the following topics:      Selected materials from optimization, linear algebra, and probability theory/information theory will be covered.

Prerequisites

     Familiarity with multivariate calculus, linear algebra and numerical methods will be assumed. Programming in Python will be required.

Grading

     The course grade will be based on programming projects (60%) and an in-class presentation (40%).

Course Materials

Some references and links

     Below are some links and books on numerical linear algebra, optimization, and machine learning that may be helpful.