| 書目名稱 | Computer Vision Projects with PyTorch | | 副標(biāo)題 | Design and Develop P | | 編輯 | Akshay Kulkarni,Adarsha Shivananda,Nitin Ranjan Sh | | 視頻video | http://file.papertrans.cn/235/234024/234024.mp4 | | 概述 | Includes a variety of hands-on computer vision projects using transfer learning and PyTorch.Explains image similarity and anomaly detection models in computer vision.Covers explainable AI for computer | | 圖書封面 |  | | 描述 | Design and develop end-to-end, production-grade computer vision projects for real-world industry problems. This book discusses computer vision algorithms and their applications using PyTorch..The book begins with the fundamentals of computer vision: convolutional neural nets, RESNET, YOLO, data augmentation, and other regularization techniques used in the industry. And then it gives you a quick overview of the PyTorch libraries used in the book. After that, it takes you through the implementation of image classification problems, object detection techniques, and transfer learning while training and running inference. The book covers image segmentation and an anomaly detection model. And it discusses the fundamentals of video processing for computer vision tasks putting images into videos. The book concludes with an explanation of the complete model building process for deep learning frameworks using optimized techniques with highlights on model AI explainability..After reading this book, you will be able to build your own computer vision projects using transfer learning and PyTorch..What You Will Learn.Solve problems in computer vision with PyTorch..Implement transfer learning and | | 出版日期 | Book 2022 | | 關(guān)鍵詞 | Deep Learning; Computer Vision; Artificial Intelligence; Python; PyTorch; Image Processing; Image Classifi | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-8273-1 | | isbn_softcover | 978-1-4842-8272-4 | | isbn_ebook | 978-1-4842-8273-1 | | copyright | Akshay Kulkarni, Adarsha Shivananda, and Nitin Ranjan Sharma 2022 |
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