V Kishore Ayyadevara & Yeshwanth Reddy 
Modern Computer Vision with PyTorch [EPUB ebook] 
A practical roadmap from deep learning fundamentals to advanced applications and Generative AI

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Whether 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 Py Torch and how to implement state-of-the-art architectures for real-world tasks.
The second edition of Modern Computer Vision with Py Torch 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 Vi T, Tr OCR, BLIP2, and Layout LM 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.

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Bahasa Inggris ● Format EPUB ● Halaman 746 ● ISBN 9781803240930 ● Ukuran file 70.4 MB ● Penerbit Packt Publishing ● Kota San Antonio ● Negara US ● Diterbitkan 2024 ● Diunduh 24 bulan ● Mata uang EUR ● ID 9478466 ● Perlindungan salinan tanpa

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