This advanced course on deep learning and computer vision focuses on building, training, and fine-tuning object detection models using PyTorch. Join instructor Prateek Sawhney as he shows you how to work with popular object detection models such as YOLO, SSD, and Faster R-CNN, while gaining hands-on experience with real-world projects. By the end of this course, you’ll be prepared to implement and evaluate state-of-the-art object detection systems, fine-tune models for performance, and deploy them in real-time applications.
This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace. Check out “Using GitHub Codespaces” with this course to learn how to get started.
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