Deep Learning Applications for Computer Vision

University of Colorado Boulder via Coursera

Coursera

24 Courses


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Overview

Unlock the potential of your career with the "Deep Learning Applications for Computer vision" course offered by the University of Colorado Boulder on Coursera. Dive into the fascinating world of Computer Vision, and grasp both classic and cutting-edge Deep Learning methodologies. You'll explore a wide array of Computer Vision tasks such as image classification, object detection, facial recognition, and more, learning how Deep Learning techniques revolutionize problem-solving in these areas.

This interactive course not only covers theoretical aspects but also provides practical tutorials for hands-on experience with the latest machine learning tools and software libraries. Whether you're tackling image classification with localization, object segmentation, or activity pose estimation, this course equips you with the knowledge to excel.

Gain academic credit towards CU Boulder’s prestigious MS in Data Science or MS in Computer Science degrees by enrolling in this course on Coursera. These fully accredited programs feature targeted courses, flexible 8-week sessions, and a pay-as-you-go tuition model. Admissions prioritize performance in select preliminary courses over academic history, making CU degrees accessible to recent graduates and working professionals alike.

Explore further:

  • MS in Data Science
  • MS in Computer Science

This course falls under various categories including Machine Learning Courses, Computer Vision Courses, Deep Learning Courses, Neural Networks Courses, Image Classification Courses, Object Detection Courses, and Facial Recognition Courses, offering a comprehensive curriculum for anyone looking to deepen their understanding and skills in these fields.

Syllabus


Taught by

Ioana Fleming


Tags

united states