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Detailed Course Information

 

Fall 2019
Sep 16, 2019
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  Select the desired Level or Schedule Type to find available classes for the course.

CSCI 2952G - Deep Learning in Genomics
Deep learning models have achieved impressive performance in fields like computer vision and NLP. Given an adequate amount of data, these models can extract meaningful representations to perform accurate predictions. The collection of vast quantities of biological data naturally leads to the question -- can deep learning help us understand genomics? In this seminar-style class, we will cover the recent research literature trying to answer this question. We will learn how state-of-the-art models like CNNs, RNNs, GCNs, GANs, etc. have been applied to solve significant problems in genomics and what unique challenges are presented by the data in this field. Students wishing to take this course must fill out this form and attend the first class: https://forms.gle/JUGLHJJdEN4pK5QV9
1.000 Credit hours
1.000 Lecture hours

Levels: Graduate, Undergraduate
Schedule Types: Primary Meeting

Computer Science Department

Restrictions:
Must be enrolled in one of the following Levels:     
      Graduate

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