(CEE 330) Deep Learning

3 Credits

An introduction to deep learning, a subset of machine learning, concerned with the development and application of modern neural networks. We will cover a range of topics from basic Neural Networks, Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN), Attention, Transformers, Generative Adversarial Networks (GAN), and state-of-the art networks and their applications in computer vision, engineering, remote sensing, medical, language, and AI for social good applications. Credit will not be given for both CSE 330 and CSE 430 . Prerequisites: ( ENGR 010 or CSE 004 or CSE 007 or CSE 012 ) and ( MATH 205 or MATH 241 or MATH 242 ) Attribute/Distribution: Q