Modern Computer Vision with PyTorch: A Comprehensive Guide for Image Analysis and CV Techniques
Master Modern Computer Vision with Our Expert PyTorch Guide

Modern Computer Vision with PyTorch: A Comprehensive Guide for Image Analysis and CV Techniques

Ayyadevara and Reddy’s 'Modern Computer Vision with PyTorch' is a well-constructed beginner to intermediate level text on working more efficiently and creatively with PyTorch in image analysis and CV techniques. The book covers a wide range of topics in computer vision and provides practical examples and code snippets. It is a comprehensive guide for both beginners and advanced practitioners.

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  • Data Scientists
  • Machine Learning Engineers
  • Software Developers
  • AI Researchers
  • Computer Vision Specialists

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Custom Date - Nov 24, 2024
Popular Phrases (of 30 reviews)
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  • In the 21st century, we expect books to be printed in colour.

    Without colour, the code is difficult to read and the images are not informative.

    Sentiment
    • Negative
    Content
    • Image Analysis
    Feb 10, 2022

  • I am reading the book and it is good in the sense that it tries to focus more on the practical side of the ANN. Which is good specifically if you already know the theory and need more practices with their real world applications.

    Sentiment
    • Positive
    Content
    • PyTorch Fundamentals
    Jan 05, 2022
  • Wonderful book

    The authors have done a fantastic job in writing this book.

    I bought this book specifically to implement object detection and face recognition systems. The online notebooks are succinct and very clear. The library, torch_snippets, created by the authors is very useful.

    Very happy with my purchase. Wish the authors great success in their careers and future writing!

    Sentiment
    • Positive
    Content
    • Model Implementation
    Aug 12, 2021

  • I am very satisfied with the content provided in this book. It covers many (if not all) of the major topics in computer vision, goes straight to the point, comes along with source code with loads of neat tricks.
    A downside is that the code is not colored and sometimes hard to read.
    5/5

    Sentiment
    • Positive
    Content
    • Computer Vision Techniques
    Mar 27, 2021

  • A massive book worthy of your time and attention.

    Truly a major piece of work that should not go unnoticed!

    Sentiment
    • Positive
    Content
    • Computer Vision Techniques
    Mar 11, 2021
  • Timely resource

    There are increasing resources with scattered information and use cases of computer vision. The book serves timely with all the required information in one place. No distractions

    Sentiment
    • Positive
    Content
    • Computer Vision Techniques
    Jan 14, 2021
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Sentiment Analysis (of 30 reviews)
90 Net Promoter
Score
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