Udemy - Introduction to Object Detection using Transformers (2020)

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + .srt | Duration: 13 lectures (30m) | Size: 109.1 MB Learn about Facebook's new DETR method, which uses Transformers to achieve efficient Object Detection What you'll learn: Object Detection using Facebook's new efficient technique Application of Transformers in Object Detection DETR architecture Requirements Basic knowledge of python programming Basic Understanding of Neural Network Description In this course, you will learn about DETR technique which offers a much simpler and a more flexible pipeline architecture that requires fewer heuristics. It is the first object detection framework to successfully integrate Transformers as a central building block in the detection pipeline. DETR matches the performance of state-of-the-art methods, such as well established and highly optimized Faster R-CNN baseline on challenging COCO object detection dataset, while also greatly simplifying and streamlining the architecture. Who this course is for Beginner Python Developer who want to learn Object Detection Homepage https://www.udemy.com/course/end-to-end-object-detection-using-facebooks-detr-2020/ Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me Download now LINK

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