Deep Learning Applications for Computer Vision

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Course Features

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Duration

23 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

23 hours

Course Description

This course is available for academic credit through CU Boulder's Master of Science degree in Data Science (MSDS), which can be found on Coursera. The MS-DS degree is an interdisciplinary program that brings together faculty members from CU Boulder's departments in Applied Mathematics, Computer Science and Information Science. The MS-DS program is open to individuals who have a wide range of education and/or experience in information science, computer science, statistics, and mathematics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.

Course Overview

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Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Learners will be able to explain what Computer Vision is and give examples of Computer Vision tasks

Learners will be able to describe the process behind classic algorithmic solutions to Computer Vision tasks and explain their pros and cons

Learners will be able to use hands-on modern machine learning tools and python libraries

Course Instructors

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Ioana Fleming

Computer Science

Dr. Fleming was born in Romania, where she earned her MD. She also holds MS and PhD degrees from Johns Hopkins University. Her research combines computer vision & medical imaging, with applications i...
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