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[FreeCoursesOnline.Me] Coursera - Deep Learning In Computer Vision
TORRENT SUMMARY
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About this course: Deep learning added a huge boost to the already rapidly developing field of computer vision. With deep learning, a lot of new applications of computer vision techniques have been introduced and are now becoming parts of our everyday lives. These include face recognition and indexing, photo stylization or machine vision in self-driving cars. The goal of this course is to introduce students to computer vision, starting from basics and then turning to more modern deep learning models. We will cover both image and video recognition, including image classification and annotation, object recognition and image search, various object detection techniques, motion estimation, object tracking in video, human action recognition, and finally image stylization, editing and new image generation. In course project, students will learn how to build face recognition and manipulation system to understand the internal mechanics of this technology, probably the most renown and oftenly demonstrated in movies and TV-shows example of computer vision and AI.
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FILE LIST
Filename
Size
001.Introduction and digital images/001. Short introduction to computer vision.mp4
15.3 MB
001.Introduction and digital images/001. Short introduction to computer vision.srt
7.1 KB
001.Introduction and digital images/002. Digital images.mp4
12.2 MB
001.Introduction and digital images/002. Digital images.srt
5.1 KB
001.Introduction and digital images/003. Structure of human eye and vision.mp4
22.3 MB
001.Introduction and digital images/003. Structure of human eye and vision.srt
8.4 KB
001.Introduction and digital images/004. Color models.mp4
57.7 MB
001.Introduction and digital images/004. Color models.srt
21.5 KB
002.Basic image processing/005. Image processing goals and tasks.mp4
10.8 MB
002.Basic image processing/005. Image processing goals and tasks.srt
3.6 KB
002.Basic image processing/006. Contrast and brightness correction.mp4
19.7 MB
002.Basic image processing/006. Contrast and brightness correction.srt