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學生對 科罗拉多大学波德分校 提供的 Deep Learning Applications for Computer Vision 的評價和反饋

4.5
36 個評分

課程概述

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....

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JP

2022年1月2日

Great introductory course on deep learning for computer vision.

DM

2022年6月16日

Learnt many things and most exciting was Python code part

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1 - Deep Learning Applications for Computer Vision 的 8 個評論(共 8 個)

創建者 Carlos A V S

2022年5月19日

創建者 Erik S

2022年3月5日

創建者 Joed H P

2022年1月3日

創建者 Allyson D d L

2022年6月17日

創建者 Debasree M

2022年6月17日

創建者 BERGOR B B

2022年3月5日

創建者 Abhishek R

2022年7月23日

創建者 Alessandro C

2022年11月28日