FaridKhan Posted January 20 Report Share Posted January 20 English | January 17, 2025 | ISBN: 9348107488 | 255 Pages | True epub | 22,67 MBMastering Computer Vision With PyTorch 2.0 (M. Arshad Siddiqui) (2025) EnglishUnleashing the Power of Computer Vision with PyTorch 2.0.Key Features● Covers core to advanced Computer Vision topics with PyTorch 2.0's latest features and best practices.● Progressive learning path to ensure suitability for beginners and experts alike.● Tackles practical tasks like optimization, transfer learning, and edge deployment.Book DescriptionIn an era where Computer Vision has rapidly transformed industries like healthcare and autonomous systems, PyTorch 2.0 has become the leading framework for high-performance AI solutions.[Mastering Computer Vision with PyTorch 2.0] bridges the gap between theory and application, guiding readers through PyTorch essentials while equipping them to solve real-world challenges.Starting with PyTorch's evolution and unique features, the book introduces foundational concepts like tensors, computational graphs, and neural networks. It progresses to advanced topics such as Convolutional Neural Networks (CNNs), transfer learning, and data augmentation. Hands-on chapters focus on building models, optimizing performance, and visualizing architectures. Specialized areas include efficient training with PyTorch Lightning, deploying models on edge devices, and making models production-ready.Explore cutting-edge applications, from object detection models like YOLO and Faster R-CNN to image classification architectures like ResNet and Inception. By the end, readers will be confident in implementing scalable AI solutions, staying ahead in this rapidly evolving field. Whether you're a student, AI enthusiast, or professional, this book empowers you to harness the power of PyTorch 2.0 for Computer Vision.What you will learn● Build and train neural networks using PyTorch 2.0.● Implement advanced image classification and object detection models.● Optimize models through augmentation, transfer learning, and fine-tuning.● Deploy scalable AI solutions in production and on edge devices.● Master PyTorch Lightning for efficient training workflows.● Apply real-world techniques for preprocessing, quantization, and deployment.Table of ContentsDiving into PyTorch 2.0PyTorch BasicsTransitioning from PyTorch 1.x to PyTorch 2.0Venturing into Artificial Neural NetworksDiving Deep into Convolutional Neural Networks (CNNs)Data Augmentation and Preprocessing for Vision TasksExploring Transfer Learning with PyTorchAdvanced Image Classification ModelsObject Detection ModelsTips and Tricks to Improve Model PerformanceEfficient Training with PyTorch LightningModel Deployment and Production-Ready ConsiderationsIndex eBook Details255 Pages6 - 7 Hours to read79k Total wordsRelease Date: January 17, 2025ISBN-13: 9789348107480ISBN-10: 9348107488Language: EnglishFormat: epubFile size: 22,67 MB Contents of Download: Mastering Computer Vision With PyTorch 2.0 M Arshad Siddiqui.epub (M. Arshad Siddiqui) (2025) (22.67 MB)⋆🕷- - - - -☽───⛧ ⤝❖⤞ ⛧───☾ - - - -🕷⋆️ Mastering Computer Vision With PyTorch 2.0 (22.67 MB)RapidGator Link(s)https://rapidgator.net/file/9017509649d35397c6ff64c45b9bdda6/Mastering.Computer.Vision.With.PyTorch.2.0.rarNitroFlare Link(s)https://nitroflare.com/view/501DEB598127BFB/Mastering.Computer.Vision.With.PyTorch.2.0.rar?referrer=1635666 Link to comment Share on other sites More sharing options...
Recommended Posts
Please sign in to comment
You will be able to leave a comment after signing in
Sign In Now