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
Deep Learning with PyTorch Lightning
Deep Learning with PyTorch Lightning

Deep Learning with PyTorch Lightning: Swiftly build high-performance Artificial Intelligence (AI) models using Python

Arrow left icon
Profile Icon Kunal Sawarkar Profile Icon Dheeraj Arremsetty
Arrow right icon
£9.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3 (16 Ratings)
Paperback Apr 2022 366 pages 1st Edition
eBook
£29.99
Paperback
£36.99
Subscription
Free Trial
Renews at £9.99p/m
Arrow left icon
Profile Icon Kunal Sawarkar Profile Icon Dheeraj Arremsetty
Arrow right icon
£9.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3 (16 Ratings)
Paperback Apr 2022 366 pages 1st Edition
eBook
£29.99
Paperback
£36.99
Subscription
Free Trial
Renews at £9.99p/m
eBook
£29.99
Paperback
£36.99
Subscription
Free Trial
Renews at £9.99p/m

What do you get with a Packt Subscription?

Free for first 7 days. £13.99 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

  • Become well-versed with PyTorch Lightning and learn how to implement it in various applications
  • Speed up your research using PyTorch Lightning by creating new loss functions, and architectures
  • Train and build new DL applications for images, audio, video, structured and unstructured data

Description

Building and implementing deep learning (DL) is becoming a key skill for those who want to be at the forefront of progress.But with so much information and complex study materials out there, getting started with DL can feel quite overwhelming. Written by an AI thought leader, Deep Learning with PyTorch Lightning helps researchers build their first DL models quickly and easily without getting stuck on the complexities. With its help, you’ll be able to maximize productivity for DL projects while ensuring full flexibility – from model formulation to implementation. Throughout this book, you’ll learn how to configure PyTorch Lightning on a cloud platform, understand the architectural components, and explore how they are configured to build various industry solutions. You’ll build a neural network architecture, deploy an application from scratch, and see how you can expand it based on your specific needs, beyond what the framework can provide. In the later chapters, you’ll also learn how to implement capabilities to build and train various models like Convolutional Neural Nets (CNN), Natural Language Processing (NLP), Time Series, Self-Supervised Learning, Semi-Supervised Learning, Generative Adversarial Network (GAN) using PyTorch Lightning. By the end of this book, you’ll be able to build and deploy DL models with confidence.

Who is this book for?

If you’re a data scientist curious about deep learning but don't know where to start or feel intimidated by the complexities of large neural networks, then this book is for you. Expert data scientists making the transition from other DL frameworks to PyTorch will also find plenty of useful information in this book, as will researchers interested in using PyTorch Lightning as a reference guide. To get started, you’ll need a solid grasp on Python; the book will teach you the rest

What you will learn

  • Customize models that are built for different datasets, model architectures
  • Understand a variety of DL models from image recognition, NLP to time series
  • Create advanced DL models to write poems (Semi-Supervised) or create fake images (GAN)
  • Learn to train on unlabelled images using Self-Supervised Contrastive Learning
  • Learn to use pre-trained models using transfer learning to save compute
  • Make use of out-of-the-box SOTA model architectures using Lightning Flash
  • Explore techniques for model deployment & scoring using ONNX format
  • Run and tune DL models in a multi-GPU environment using mixed-mode precisions

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Apr 29, 2022
Length: 366 pages
Edition : 1st
Language : English
ISBN-13 : 9781800561618
Category :
Languages :
Tools :

What do you get with a Packt Subscription?

Free for first 7 days. £13.99 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 : Apr 29, 2022
Length: 366 pages
Edition : 1st
Language : English
ISBN-13 : 9781800561618
Category :
Languages :
Tools :

Packt Subscriptions

See our plans and pricing
Modal Close icon
£9.99 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
£99.99 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
£139.99 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 £ 123.97
Machine Learning with PyTorch and Scikit-Learn
£41.99
Deep Learning with PyTorch Lightning
£36.99
Mastering PyTorch
£44.99
Total £ 123.97 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 4.3
(16 Ratings)
5 star 62.5%
4 star 18.8%
3 star 6.3%
2 star 6.3%
1 star 6.3%
Filter icon Filter
Top Reviews

Filter reviews by




Sumanpreet Dosanjh Jun 29, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
As someone new to PyTorch Lightning, I found this book straightforward to understand. There are many concepts that I still am not reasonably confident in, such as time series and the various model types but reading this was helpful in that it explained things in great detail. The book's content is unique in that I did not find other books to touch on the topics and discussions in this much depth. I would recommend it to anyone in this field or even starting out.
Amazon Verified review Amazon
Shantanu Solanki Jun 29, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
It's a nice book if you are getting started with deep learning. The first few chapters will help you take off in the field of deep learning and build your confidence in the PyTorch Lightning library. Then you will dive deep into the Deep Generative models, semi-supervised learning and self-supervised learning (all the cool stuff that the AI community is currently working on). I will definitely recommend it to both new DL learners as well as DL practitioners.
Amazon Verified review Amazon
mayank Jun 25, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Great resource to start with the Pytorch Lighting library. It covers all the use-cases of deep learning including time series, image classification, GAN and many more.
Amazon Verified review Amazon
Daniel Armstrong Jun 20, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I really enjoyed this book. I have wanted to learn more about “pytorch lightning” for a while since it is becoming one of the main wrappers around pytorch, and this book made this learning process enjoyable. I think the author did a great job creating content for deep learning practitioners with different levels of understanding. This can be exceptionally challenging, some authors get lost deep into fundamentals of deep learning, others expect an advanced vocabulary that hurts the learning process, but I found Kunal Sawarkar did a nice job keeping it interesting and packed full of information.The book also covers a nice array of content with interesting data sets. I would recommend it to anyone that is looking to learn more about pytorch lighting. In particular I really like the speech recognition using flash, how he set up and talked about the traffic forecasting/time series problem. I also enjoyed reading and learning about GANs but I still feel that it is going to be a while before they become useful. Image captioning and contrastive learning are really interesting, and I will definitely try them out in “pytorch lighting”. It was also nice to see how easy it is to convert "Pytorch Lighting" models to ONNX format and server them with a flask app, I would have liked to see the same process for an NLP model.
Amazon Verified review Amazon
Zanlkhana Apr 18, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Excellent way of explanation
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.