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kulkarni computer vision projects pytorch design 2022

Type:: E-books
Files:: 1
Size:: 5.8 MB
Uploaded On:: July 19, 2022, 8:28 a.m.
Added By:: andryold1
Seeders:: 4
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Info Hash:: DB8F58BA3793C1F665545069B3AFFF070198F02C

Textbook in PDF format 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

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Kulkarni A. Computer Vision Projects with PyTorch. Design...2022.pdf 5.8 MB

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kulkarni computer vision projects pytorch design 2022

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