Analyses of Deep Learning

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Course Description

Deep learning is a transformative technology that has delivered impressive improvements in image classification and speech recognition. Many researchers are trying to better understand how to improve prediction performance and also how to improve training methods. Some researchers use experimental techniques; others use theoretical approaches. In this course we will review both experimental and theoretical analyses of deep learning. We will have 8-10 guest lecturers as well as graded projects for those who take the course for credit.

Grading Basis

RSN - Satisfactory/No Credit

Min

1

Max

1

Course Repeatable for Degree Credit?

No

Course Component

Research Seminar

Enrollment Optional?

No

Programs

STATS385 is a completion requirement for:
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