MEE 483 - Deep Learning for Engineers

Fundamental concepts, techniques, and algorithms used in deep learning, including classification, regression, optimization algorithms, feedforward and backpropagation, activation functions, single, and multi-layer perceptron. Students will learn how to use deep learning methods to analyze data, enabling them to apply these techniques to engineering problems. The course has a significant programming component.

Prerequisites & Notes
PRQ: MEE 380, or consent of department.
Credits: 3

Writing Infused:
No
Human Diversity:
No
General Education Designation:
No
Community Engaged Course:
No