CS 752 (01) - Foundations of Neural Networks

Foundations of Neural Networks

Durham   Engineering&Physical Sciences :: Computer Science
Credits: 4.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 16737
Neural networks are a class of machine learning models which have recently revolutionized many applied machine learning domains such as natural language understanding, image/video processing, bioinformatics, time series analysis. This course teaches students to develop new neural network architectures from scratch and customize them. The course covers all necessary foundations of neural networks including gradient descent optimization and vector calculus. Students will learn how to design models using idioms such as observed variables, latent variables, gate variables and different functions as well as a wide range of state-of-the-art architectures as design examples. Prereq: CS 515.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Only listed colleges in section: Engineering&Physical Sciences
Instructors: Laura Dietz

Times & Locations

Start Date End Date Days Time Location
8/29/2022 12/12/2022 MW 3:40pm - 5:00pm PARS N116