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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

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

$50.99

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Machine Learning with PyTorch and Scikit-Learn

$54.99

Total $ 168.97

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Rishi Jul 06, 2022

Easy to follow PyTorch tutorials and very good content on GAN and Image classification

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heny Apr 19, 2023

Interesting 👌🏻👍🏻

Sotiris Oct 16, 2022

I really enjoyed the practical approach of every deep learning project presented in the book.

Sumanpreet Dosanjh Jun 29, 2022

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.

Shantanu Solanki Jun 29, 2022

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.

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

What do you get with eBook?