MEE 583 - 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