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

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

22 reviews between Dec 31, 2020 and May 31, 2023.

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.

Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50
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22 reviews between Dec 31, 2020 and May 31, 2023.

Dec 31, 2020 - May 31, 2023

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  • Career Elevating Book!

    This book is the most helpful thing in my life for elevating my career since I first upgraded my career with the Data Science Frim Scratch oreilly book. So I def recommend this. PyTorch is better for deep learning and computer vision than Keras. I highly recommend going this route if you wanna be more than just good at your job and you wanna be a great computer vision engineer/developer. This book has a lot of great notebook-esque programs to follow along with. I love trying them out on my own and it’s going so well to inch my way closer to a cv career over time.

    Sentiment
    • Positive
    Content
    • PyTorch Fundamentals
    Nov 14, 2022
  • All in one place!

    This book is very well written and comprehensive! I agreed with another reviewer that the information about computer vision is quite scattered and this book contain all the required information in one place. This really saves me time to getting started with computer vision. Also the PyTorch examples contained in the book is very clean and handy. It also covers all major topics in computer vision. This definitely is a book for both beginners and advanced practitioners.

    Sentiment
    • Positive
    Content
    • PyTorch Fundamentals
    Apr 11, 2022
  • 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
  • An end to end practical guide for Computer Vision

    I like this book that it has provided the focused deep learning fundamental knowledge that helps you to get it started, and it does have end to end code and guide for development and deployment. It can equip users with the cutting edge computer version techniques to enhance you current cases. Those use cases are easy and clear to follow, and scale to your own cases. With years of experiences in machine learning area, I strongly recommend this book.

    Sentiment
    • Positive
    Content
    • Deep Learning Basics
    Feb 08, 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
  • A Guide to the latest and greatest techniques in Computer Vision

    This book is a comprehensive guide to the most advanced computer vision techniques, both from a conceptual and coding standpoint. Academic learners can leverage the detailed conceptual progression while it works as a Computer vision recipe for professionals. The book also covers the application aspects of computer vision in an industry setup. In terms of advanced and lesser-known computer vision techniques, the book works as a cheat sheet to implement computer vision in combination with NLP and reinforcement learning in PyTorch.

    Sentiment
    • Positive
    Content
    • Computer Vision Techniques
    Jan 11, 2021
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