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Titlebook: Computer Vision Projects with PyTorch; Design and Develop P Akshay Kulkarni,Adarsha Shivananda,Nitin Ranjan Sh Book 2022 Akshay Kulkarni, A

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樓主: obsess
21#
發(fā)表于 2025-3-25 05:51:06 | 只看該作者
22#
發(fā)表于 2025-3-25 08:41:02 | 只看該作者
23#
發(fā)表于 2025-3-25 15:27:30 | 只看該作者
24#
發(fā)表于 2025-3-25 17:52:27 | 只看該作者
25#
發(fā)表于 2025-3-25 20:49:23 | 只看該作者
Book 2022hms 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.
26#
發(fā)表于 2025-3-26 03:58:25 | 只看該作者
27#
發(fā)表于 2025-3-26 07:40:40 | 只看該作者
models in computer vision.Covers explainable AI for computerDesign 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 compute
28#
發(fā)表于 2025-3-26 11:30:36 | 只看該作者
Principles of Antibiotic Therapy,ngs. We use the IQ score to quantify human intelligence, but what about machines? Machines are also part of this evolutionary journey. How have we moved our focus to machines and made them intelligent, as we know them today? Let’s take a quick look at this history.
29#
發(fā)表于 2025-3-26 15:01:33 | 只看該作者
Principles of Antibiotic Therapy,g a model. There is another question that needs an answer—how much data is sufficient to help the model understand the distribution such that we can have a good representation? This chapter will work out an example and the concepts regarding these important questions. We are discussing anomaly detection in computer vision.
30#
發(fā)表于 2025-3-26 18:21:29 | 只看該作者
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