Course Descriptions and Schedule

Please note that course schedules may be amended due to low enrollment, faculty availability, and/or other factors.

MSDS 462-DL : Computer Vision


Description

A review of specialized deep learning methods for vision, including convolutional neural networks and recurrent neural networks. Students work with raw image files, including digital representations of photographs, hand-written documents, x-rays, and sensor images. Students process image data, converting pixels into numeric tensors for subsequent analysis and modeling. The course illustrates real-world applications for visual exploration, discovery and navigation, and for image classification, facial recognition, remote sensing, and medical diagnostics. This is a project-based course with extensive programming assignments.

Recommended prior course: MSDS 458-DL Artificial Intelligence and Deep Learning.

Prerequisites: (1) MSDS 420-DL Database Systems and Data Preparation or CIS 417 Database Systems Design and Implementation and (2) MSDS 422-DL Practical Machine Learning or CIS 435 Practical Data Science Using Machine Learning.


Spring 2021
Start/End DatesDay(s)TimeBuildingSection
03/29/21 - 06/06/21Optional Sync W
7 – 9:30 p.m. 55
InstructorCourse LocationStatusCAESAR Course ID
Gift, Noah
Online
Open
^ Back to top ^