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Learner Reviews & Feedback for Deep Learning Applications for Computer Vision by University of Colorado Boulder

4.5
stars
45 ratings

About the Course

This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder. In this course, you’ll be learning about Computer Vision as a field of study and research. First we’ll be exploring several Computer Vision tasks and suggested approaches, from the classic Computer Vision perspective. Then we’ll introduce Deep Learning methods and apply them to some of the same problems. We will analyze the results and discuss advantages and drawbacks of both types of methods. We'll use tutorials to let you explore hands-on some of the modern machine learning tools and software libraries. Examples of Computer Vision tasks where Deep Learning can be applied include: image classification, image classification with localization, object detection, object segmentation, facial recognition, and activity or pose estimation....

Top reviews

JP

Jan 2, 2022

Great introductory course on deep learning for computer vision.

DM

Jun 16, 2022

Learnt many things and most exciting was Python code part

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1 - 9 of 9 Reviews for Deep Learning Applications for Computer Vision

By Carlos A V S

May 19, 2022

Es un curso muy bien explicado, abarcando los conceptos básicos sobre el tema de visión por computador. Fue muy enriquecedor para mi ya que cumplió con mis expectativas. me gustó mucho la parte final que se abordó de manera práctica.

By Erik S

Mar 5, 2022

Professor Fleming is explaining verry good. Even is most of the concepts were not new to me it was a plessure how it was explained.

By Joed H P

Jan 3, 2022

Great introductory course on deep learning for computer vision.

By Allyson D d L

Jun 17, 2022

Very good introduction but the practical exercises are so easy.

By Debasree M

Jun 17, 2022

Learnt many things and most exciting was Python code part

By BERGOR B B

Mar 5, 2022

good. Thanks

By Abhishek R

Jul 23, 2022

Great one for beginners!

By Ad m

Mar 6, 2023

not what I expect from it, but overall it's good

By Alessandro C

Nov 28, 2022

Good theoretical lessons and material suggested for further readings. However from a practical point of view the course is pretty lazy, both in showcasing the implementations of the "pytorch" library and in the requests of the assignments, which consist in remembering what was shown during lectures and copying it.