Modern Computer Vision with PyTorch: A practical roadmap from deep learning fundamentals to advanced applications and Ge - Marjane Mall - Image 1
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Modern Computer Vision with PyTorch: A practical roadmap from deep learning fundamentals to advanced applications and Ge

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Livraison entre le Mercredi 9 septembre 2026 et le Jeudi 10 septembre 2026

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Marque : GENERIC
Vendu par KECHBOOK

The definitive computer vision book is back, featuring the latest neural network architectures and an exploration of foundation and diffusion modelsPurchase of the print or Kindle book includes a free eBook in PDF formatKey FeaturesUnderstand the inner workings of various neural network architectures and their implementation, including image classi...

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Description produit

Marque
GENERIC
Titre
Modern Computer Vision with PyTorch: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI
Éditeur
Packt Publishing
Type de produit
paperback
Présentation du livre
paperback
Date de sortie
6/10/2024 12:00:00 AM
Langue d'origine
English
ISBN
1803231335
Nombre de pages
746 pages
Langue
English
Résumé
The definitive computer vision book is back, featuring the latest neural network architectures and an exploration of foundation and diffusion modelsPurchase of the print or Kindle book includes a free eBook in PDF formatKey FeaturesUnderstand the inner workings of various neural network architectures and their implementation, including image classification, object detection, segmentation, generative adversarial networks, transformers, and diffusion modelsBuild solutions for real-world computer vision problems using PyTorchAll the code files are available on GitHub and can be run on Google ColabBook DescriptionWhether you are a beginner or are looking to progress in your computer vision career, this book guides you through the fundamentals of neural networks (NNs) and PyTorch and how to implement state-of-the-art architectures for real-world tasks.The second edition of Modern Computer Vision with PyTorch is fully updated to explain and provide practical examples of the latest multimodal models, CLIP, and Stable Diffusion.You’ll discover best practices for working with images, tweaking hyperparameters, and moving models into production. As you progress, you'll implement various use cases for facial keypoint recognition, multi-object detection, segmentation, and human pose detection. This book provides a solid foundation in image generation as you explore different GAN architectures. You’ll leverage transformer-based architectures like ViT, TrOCR, BLIP2, and LayoutLM to perform various real-world tasks and build a diffusion model from scratch. Additionally, you’ll utilize foundation models' capabilities to perform zero-shot object detection and image segmentation. Finally, you’ll learn best practices for deploying a model to production.By the end of this deep learning book, you'll confidently leverage modern NN architectures to solve real-world computer vision problems.What you will learnGet to grips with various transformer-based architectures for computer vision, CLI
Auteur
V Kishore Ayyadevara, Yeshwanth Reddy
Date de parution
6/10/2024 12:00:00 AM