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    Modern Computer Vision with PyTorch. A practical and comprehensive guide to understanding deep learning and multimodal models for real-world vision tasks - Second Edition

    (ebook) (audiobook) (audiobook) Książka w języku 1
    Autorzy:
    V Kishore Ayyadevara, Yeshwanth Reddy
    Modern Computer Vision with PyTorch. A practical and comprehensive guide to understanding deep learning and multimodal models for real-world vision tasks - Second Edition V Kishore Ayyadevara, Yeshwanth Reddy - okladka książki

    Modern Computer Vision with PyTorch. A practical and comprehensive guide to understanding deep learning and multimodal models for real-world vision tasks - Second Edition V Kishore Ayyadevara, Yeshwanth Reddy - okladka książki

    Modern Computer Vision with PyTorch. A practical and comprehensive guide to understanding deep learning and multimodal models for real-world vision tasks - Second Edition V Kishore Ayyadevara, Yeshwanth Reddy - audiobook MP3

    Modern Computer Vision with PyTorch. A practical and comprehensive guide to understanding deep learning and multimodal models for real-world vision tasks - Second Edition V Kishore Ayyadevara, Yeshwanth Reddy - audiobook CD

    Wydawnictwo:
    Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
    Ocena:
    The second edition of Modern Computer Vision with PyTorch is fully updated on top of the comprehensive coverage in the first edition to explain and provide practical examples of the latest multimodal models, CLIP and Stable Diffusion.
    Whether you’re 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 shows you how to implement state-of-the-art architectures for real-world examples. You’ll discover the best practices for working with images, tweaking hyperparameters, and moving models into production. As you progress, you'll implement multiple use cases of 2D and 3D multi-object detection, segmentation, and human pose detection by learning about the R-CNN family, SSD, YOLO, U-Net architectures, and the Detectron2 platform. You’ll enter the world of generative AI, with facial generation and manipulation, and discover the impressive capabilities of diffusion models with image creation and in- and out-painting. Finally, you'll move your NN model to production on the AWS Cloud.
    By the end, you'll be able to leverage modern NN architectures to solve over 30 real-world CV problems confidently.

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    O autorach książki

    V Kishore Ayyadevara leads a team focused on using AI to solve problems in the healthcare space. He has 10 years' experience in data science, solving problems to improve customer experience in leading technology companies. In his current role, he is responsible for developing a variety of cutting edge analytical solutions that have an impact at scale while building strong technical teams. Prior to this, Kishore authored three books — Pro Machine Learning Algorithms, Hands-on Machine Learning with Google Cloud Platform, and SciPy Recipes. Kishore is an active learner with keen interest in identifying problems that can be solved using data, simplifying the complexity and in transferring techniques across domains to achieve quantifiable results.
    Yeshwanth Reddy is a data scientist with prior teaching experience in INSOFE. He has completed his M.Tech and B.Tech from IIT Madras.

    V Kishore Ayyadevara, Yeshwanth Reddy - pozostałe książki

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