learn about different computer vision tasks and focus on image classification, learning how to use neural networks to classify handwritten digits, as well as some real-world images, such as photographs of cats and dogs. We'll be using one of the most popular deep learning frameworks, PyTorch!
Modern Computer Vision with PyTorch This is the code repository for Modern Computer Vision with PyTorch, published by Packt. Explore deep learning concepts and implement over 50 real-world image applications What is this book about? Deep learning is the driving force behind many recent advances in...
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This is the code repository for Modern Computer Vision with PyTorch, published by Packt.Explore deep learning concepts and implement over 50 real-world image applicationsWhat is this book about?Deep learning is the driving force behind many recent advances in various computer vision (CV) ...
Get to grips with deep learning techniques for building image processing applications using PyTorch with the help of code notebooks and test questions Key Features Implement solutions to 50 real-world … - Selection from Modern Computer Vision with PyTo
从零开始PyTorch项目:YOLO v3目标检测实现.docx 星级: 30 页 Packt Publishing OpenCV Computer Vision with Python (2013) 星级: 100 页 Packt Publishing OpenCV Computer Vision with Python 2013 星级: 268 页 Packt Publishing Opencv Computer Vision With Python 2015 星级: 426 页 Packt Opencv Computer...
图书Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image applications 介绍、书评、论坛及推荐
ModernComputerVisionwith PyTorch: Explore deep learning concepts and implement over 50 real-world image applications by V Kishore Ayyadevara and YeshwanthReddy Print Length 页数: 824 pages ISBN-10: 1839213477 ISBN-13: 9781839213472 Publisher finelybook 出版社: Packt Publishing (November 27,2020)...
Computer Vision at Scale With Dask And PyTorch- Nov 23, 2020. A tutorial on conducting image classification inference using the Resnet50 deep learning model at scale with using GPU clusters on Saturn Cloud. The results were: 40x faster computer vision that made a 3+ hour PyTorch model run ...