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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

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Profile Icon Kunal Sawarkar Profile Icon Dheeraj Arremsetty
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£36.99
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
£36.99
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

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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
Estimated delivery fee Deliver to Isle of Man

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£4.95

Premium delivery 6 - 9 business days

£16.95
(Includes tracking information)

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Apr 29, 2022
Length: 366 pages
Edition : 1st
Language : English
ISBN-13 : 9781800561618
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What do you get with Print?

Product feature icon Instant access to your digital copy whilst your Print order is Shipped
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Product feature icon Redeem a companion digital copy on all Print orders
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Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
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Estimated delivery fee Deliver to Isle of Man

Economy delivery 10 - 13 business days

£4.95

Premium delivery 6 - 9 business days

£16.95
(Includes tracking information)

Product Details

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

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Frequently bought together


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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
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Customer reviews

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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%
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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
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