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学生对 科罗拉多大学波德分校 提供的 Deep Learning Applications for Computer Vision 的评价和反馈

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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 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....



Jan 2, 2022

Great introductory course on deep learning for computer vision.


Jun 16, 2022

Learnt many things and most exciting was Python code part


1 - Deep Learning Applications for Computer Vision 的 8 个评论(共 8 个)

创建者 Carlos A V S

May 19, 2022

创建者 Erik S

Mar 5, 2022

创建者 Joed H P

Jan 3, 2022

创建者 Allyson D d L

Jun 17, 2022

创建者 Debasree M

Jun 17, 2022


Mar 5, 2022

创建者 Abhishek R

Jul 23, 2022

创建者 Alessandro C

Nov 28, 2022