Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Modern Computer Vision with PyTorch
Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI , Second Edition

Arrow left icon
Profile Icon V Kishore Ayyadevara Profile Icon Yeshwanth Reddy
Arrow right icon
$12.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4 (19 Ratings)
Paperback Jun 2024 746 pages 2nd Edition
eBook
$48.99
Paperback
$60.99
Subscription
Free Trial
Renews at $12.99p/m
Arrow left icon
Profile Icon V Kishore Ayyadevara Profile Icon Yeshwanth Reddy
Arrow right icon
$12.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4 (19 Ratings)
Paperback Jun 2024 746 pages 2nd Edition
eBook
$48.99
Paperback
$60.99
Subscription
Free Trial
Renews at $12.99p/m
eBook
$48.99
Paperback
$60.99
Subscription
Free Trial
Renews at $12.99p/m

What do you get with a Packt Subscription?

Free for first 7 days. $15.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Key benefits

  • Understand the inner workings of various neural network architectures and their implementation, including image classification, object detection, segmentation, generative adversarial networks, transformers, and diffusion models
  • Build solutions for real-world computer vision problems using PyTorch
  • All the code files are available on GitHub and can be run on Google Colab

Description

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 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.

Who is this book for?

This book is for beginners to PyTorch and intermediate-level machine learning practitioners who want to learn computer vision techniques using deep learning and PyTorch. It's useful for those just getting started with neural networks, as it will enable readers to learn from real-world use cases accompanied by notebooks on GitHub. Basic knowledge of the Python programming language and ML is all you need to get started with this book. For more experienced computer vision scientists, this book takes you through more advanced models in the latter part of the book.

What you will learn

  • Get to grips with various transformer-based architectures for computer vision, CLIP, Segment-Anything, and Stable Diffusion, and test their applications, such as in-painting and pose transfer
  • Combine CV with NLP to perform OCR, key-value extraction from document images, visual question-answering, and generative AI tasks
  • Implement multi-object detection and segmentation
  • Leverage foundation models to perform object detection and segmentation without any training data points
  • Learn best practices for moving a model to production

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Jun 10, 2024
Length: 746 pages
Edition : 2nd
Language : English
ISBN-13 : 9781803231334
Vendor :
Facebook
Category :
Languages :
Tools :

What do you get with a Packt Subscription?

Free for first 7 days. $15.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Product Details

Publication date : Jun 10, 2024
Length: 746 pages
Edition : 2nd
Language : English
ISBN-13 : 9781803231334
Vendor :
Facebook
Category :
Languages :
Tools :

Packt Subscriptions

See our plans and pricing
Modal Close icon
$12.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 6,500+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Simple pricing, no contract
$129.99 billed annually
Feature tick icon Unlimited access to Packt's library of 6,500+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just $5 each
Feature tick icon Exclusive print discounts
$179.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 6,500+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just $5 each
Feature tick icon Exclusive print discounts

Frequently bought together


Stars icon
Total $ 167.97
Mastering PyTorch
$51.99
Machine Learning with PyTorch and Scikit-Learn
$54.99
Modern Computer Vision with PyTorch
$60.99
Total $ 167.97 Stars icon
Visually different images

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4
(19 Ratings)
5 star 73.7%
4 star 5.3%
3 star 5.3%
2 star 15.8%
1 star 0%
Filter icon Filter
Top Reviews

Filter reviews by




Khawaja Muddassar Oct 01, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
An insightful and comprehensive guide that not only demystifies modern computer vision techniques but also includes practical code examples for real-world implementation. A must-read for both beginners and seasoned professionals looking to stay ahead in the field!
Feefo Verified review Feefo
Aditya Jun 20, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I really enjoyed how this book makes the connection between NLP and computer vision easy to understand. The book provides detailed explanation of how transformers & diffusion models work with multiple examples. It also covers a deep under-the-hood detail of how different blocks of these models work.The explanations made it easy for me to connect multiple dots and gain a strong intuition of Generative AI. The additional topics on traditional computer vision tasks make the book highly resourceful.
Amazon Verified review Amazon
dr t Jun 22, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
First things first, this is a substantial book, spanning over 700 pages across 18 chapters.The book is promoted as a bridge between academia and practical applications and is aimed towards newbies and intermediate readers - and by and large, it delivers. Starting with an introduction to neural networks and an introduction to PyTorch, these are then combined and the reader is guided through building a neural network using PyTorch.Key computer vision concepts such as CNNs, object detection, and segmentation each get their own chapter. In the middle section, the book moves on to autoencoders, GANs, and reinforcement learning. However, this reader found the chapter on combining CV and NLP techniques particularly fascinating. Chapter 15 discusses vision transformers and their application in OCR – truly intriguing stuff. The book concludes with arguably the most useful chapter on deploying a model to production, covering creating APIs, containerisation, and running containers in the cloud. Highly, highly useful.Each chapter includes Python exercises and test-yourself questions at the end. As usual with Packt books, the book is well-written and thoroughly covers the subject matter in a clear and accessible manner.Highly recommended.
Amazon Verified review Amazon
Kiran A. Jul 06, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book covers a host of use-cases with modern techniques - Detectron2, GANs, Deep Fakes, self-driving car, Atari games, Multi-modal AI, Diffusion models, Model deployment, vector stores.Highly worth the price to have everything that a modern AI engineer/ data scientist needs. If you are already a data scientist who is looking to catch up with the latest trends or someone who wants to get into this field, do not miss this book.
Amazon Verified review Amazon
Umang Shah Jul 07, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book covers a host of use-cases with modern techniques - Detectron2, GANs, Deep Fakes, self-driving car, Atari games, Multi-modal AI, Diffusion models, Model deployment, vector stores.Highly worth the price to have everything that a modern AI engineer/ data scientist needs. If you are already a data scientist who is looking to catch up with the latest trends or someone who wants to get into this field, do not miss this book.
Amazon Verified review Amazon
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

What is included in a Packt subscription? Chevron down icon Chevron up icon

A subscription provides you with full access to view all Packt and licnesed content online, this includes exclusive access to Early Access titles. Depending on the tier chosen you can also earn credits and discounts to use for owning content

How can I cancel my subscription? Chevron down icon Chevron up icon

To cancel your subscription with us simply go to the account page - found in the top right of the page or at https://subscription.packtpub.com/my-account/subscription - From here you will see the ‘cancel subscription’ button in the grey box with your subscription information in.

What are credits? Chevron down icon Chevron up icon

Credits can be earned from reading 40 section of any title within the payment cycle - a month starting from the day of subscription payment. You also earn a Credit every month if you subscribe to our annual or 18 month plans. Credits can be used to buy books DRM free, the same way that you would pay for a book. Your credits can be found in the subscription homepage - subscription.packtpub.com - clicking on ‘the my’ library dropdown and selecting ‘credits’.

What happens if an Early Access Course is cancelled? Chevron down icon Chevron up icon

Projects are rarely cancelled, but sometimes it's unavoidable. If an Early Access course is cancelled or excessively delayed, you can exchange your purchase for another course. For further details, please contact us here.

Where can I send feedback about an Early Access title? Chevron down icon Chevron up icon

If you have any feedback about the product you're reading, or Early Access in general, then please fill out a contact form here and we'll make sure the feedback gets to the right team. 

Can I download the code files for Early Access titles? Chevron down icon Chevron up icon

We try to ensure that all books in Early Access have code available to use, download, and fork on GitHub. This helps us be more agile in the development of the book, and helps keep the often changing code base of new versions and new technologies as up to date as possible. Unfortunately, however, there will be rare cases when it is not possible for us to have downloadable code samples available until publication.

When we publish the book, the code files will also be available to download from the Packt website.

How accurate is the publication date? Chevron down icon Chevron up icon

The publication date is as accurate as we can be at any point in the project. Unfortunately, delays can happen. Often those delays are out of our control, such as changes to the technology code base or delays in the tech release. We do our best to give you an accurate estimate of the publication date at any given time, and as more chapters are delivered, the more accurate the delivery date will become.

How will I know when new chapters are ready? Chevron down icon Chevron up icon

We'll let you know every time there has been an update to a course that you've bought in Early Access. You'll get an email to let you know there has been a new chapter, or a change to a previous chapter. The new chapters are automatically added to your account, so you can also check back there any time you're ready and download or read them online.

I am a Packt subscriber, do I get Early Access? Chevron down icon Chevron up icon

Yes, all Early Access content is fully available through your subscription. You will need to have a paid for or active trial subscription in order to access all titles.

How is Early Access delivered? Chevron down icon Chevron up icon

Early Access is currently only available as a PDF or through our online reader. As we make changes or add new chapters, the files in your Packt account will be updated so you can download them again or view them online immediately.

How do I buy Early Access content? Chevron down icon Chevron up icon

Early Access is a way of us getting our content to you quicker, but the method of buying the Early Access course is still the same. Just find the course you want to buy, go through the check-out steps, and you’ll get a confirmation email from us with information and a link to the relevant Early Access courses.

What is Early Access? Chevron down icon Chevron up icon

Keeping up to date with the latest technology is difficult; new versions, new frameworks, new techniques. This feature gives you a head-start to our content, as it's being created. With Early Access you'll receive each chapter as it's written, and get regular updates throughout the product's development, as well as the final course as soon as it's ready.We created Early Access as a means of giving you the information you need, as soon as it's available. As we go through the process of developing a course, 99% of it can be ready but we can't publish until that last 1% falls in to place. Early Access helps to unlock the potential of our content early, to help you start your learning when you need it most. You not only get access to every chapter as it's delivered, edited, and updated, but you'll also get the finalized, DRM-free product to download in any format you want when it's published. As a member of Packt, you'll also be eligible for our exclusive offers, including a free course every day, and discounts on new and popular titles.