Applied Deep Learning in Biomedicine
Academic Noncredit

This course is an applied introduction to deep learning, a branch of machine learning, that aims to understand and practice the development and application of modern neural networks. In that vein, the course will provide students with a working knowledge of deep learning fundamentals that presents a start point for using more advanced techniques in their future careers. The course will start by reviewing and implementing the main mathematics, statistics, and machine learning principles that will be required during the course. Then, the students will learn how deep learning algorithms extract layered high-level representations of data in order to optimize feature learning, cluster analysis, and classification machine learning tasks. Hands-on activities will provide students with the experience of implementing deep learning architectures for mainly biomedicine applications.

This noncredit class meets with a regular University of Utah credit course.

Questions? Call Academic Programs at 801-585-9963 or use our online form.

Class Sections For Applied Deep Learning in Biomedicine (BMI 614)

Spring 2022 Section 1, Starting on: 01/10/2022

All lectures will be in synchronous and in-person modes unless announced otherwise.

Date(s) Day Time Location
01/10/22 - 04/26/22 TTh 5:00 pm -7:00 pm 421 WA 1016
Tuition: $700.00      

Instructor: SAMIR ABDELRAHMAN

ADD TO CART ONLY 3 SEATS LEFT!

Questions? Call Academic Programs at 801-585-9963 or use our online form.

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