ECE 5995: Deep Learning: Fundamentals & Applications (Cr. 4.) Prereq: Numerical Methods and Matlab or Senior/Graduate Standing. Introduction to the theory, architecture and application of artificial neural systems. Supervised, unsupervised and reinforcement learning in a single- and multiple-layer neural networks. Self-organizing maps. Learning capacity and generalization. Gradient-based learning methods and deep learning networks. Application to image recognition, pattern classification, nonlinear modeling and forecasting.



Lecture Slides

Hassounís Textbook Errata


Numerical Methods Resources

(also includes Math Tables and Matlab Tutorials)

Sample Tests

More Resources

(Linear Algebra, Optimization, Taylor Series, and more)

Basic Matlab Examples

Java Applets



Click here to return to the CNNL homepage