This course will teach you about Computer Vision, exploring various tasks and approaches from classic algorithmic and modern deep learning perspectives. You'll understand the pros and cons of different methods and gain hands-on experience with modern machine-learning tools and Python libraries. Key Computer Vision tasks covered include image classification, object detection, segmentation, facial recognition, and pose estimation.
🆓 Free to Audit
🕒 Approx. 22 Hours
✏️Intermediate Level
🧾 Paid Certificate Available Upon Completion
🎓 Offered by The University of Colorado Boulder via Coursera
