Neural Networks and Deep Learning

EC ENGR C247 - Neural Networks and Deep Learning

EC ENGR C147 - Neural Networks and Deep Learning

<p>Lecture, four hours; discussion, two hours; outside study, six hours. Requisites: courses 180, 260. Not open to students with credit for Electrical and Computer Engineering C147 or C247. Study of basics of deep neural networks and their applications, including but not limited to computer vision, natural language processing, and graph mining. Covers topics including foundation of deep learning, how to train neural network (optimization), architecture designs for various tasks, and other advanced topics. By course end, students are expected to be familiar with deep learning and be able to apply deep learning algorithms to variety of tasks. Letter grading.</p>

Computer Science

Known as the birthplace of the Internet and where countless other cutting-edge technologies took their first steps, the school is consistently ranked among the top 10 public engineering schools in the U.S.

Henry Samueli School of Engineering and Applied Science

Computer science is concerned with the design, modeling, analysis, and applications of computer systems.

General Catalog

Deep Learning

COM SCI 260C

4 units