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

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Packt Publishing

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A Hands-On Guide to build, train, deploy, and scale deep learning models quickly and accurately, improving your productivity using the lightweight PyTorch Wrapper
Key Features

Become well-versed with PyTorch Lightning architecture and learn how it can be implemented in various industry domains
Speed up your research using PyTorch Lightning by creating new loss functions, networks, and architectures
Train and build new algorithms for massive data using distributed training

Book Description
PyTorch Lightning lets researchers build their own Deep Learning (DL) models without having to worry about the boilerplate. With the help of this book, you\'ll be able to maximize productivity for DL projects while ensuring full flexibility from model formulation through to implementation. You\'ll take a hands-on approach to implementing PyTorch Lightning models to get up to speed in no time.
You\'ll start by learning how to configure PyTorch Lightning on a cloud platform, understand the architectural components, and explore how they are configured to build various industry solutions. Next, you\'ll build a network and application from scratch and see how you can expand it based on your specific needs, beyond what the framework can provide. The book also demonstrates how to implement out-of-box capabilities to build and train Self-Supervised Learning, semi-supervised learning, and time series models using PyTorch Lightning. As you advance, you\'ll discover how generative adversarial networks (GANs) work. Finally, you\'ll work with deployment-ready applications, focusing on faster performance and scaling, model scoring on massive volumes of data, and model debugging.
By the end of this PyTorch book, you\'ll have developed the knowledge and skills necessary to build and deploy your own scalable DL applications using PyTorch Lightning.
What you will learn

Customize models that are built for different datasets, model architectures, and optimizers
Understand how a variety of Deep Learning models from image recognition and time series to GANs, semi-supervised and self-supervised models can be built
Use out-of-the-box model architectures and pre-trained models using transfer learning
Run and tune DL models in a multi-GPU environment using mixed-mode precisions
Explore techniques for model scoring on massive workloads
Discover troubleshooting techniques while debugging DL models

Who this book is for
This deep learning book is for citizen data scientists and expert data scientists transitioning from other frameworks to PyTorch Lightning. This book will also be useful for deep learning researchers who are just getting started with coding for deep learning models using PyTorch Lightning. Working knowledge of Python programming and an intermediate-level understanding of statistics and deep learning fundamentals is expected.
Table of Contents

PyTorch Lightning Adventure
Getting Off the Ground with Your First Deep Learning Model
Transfer Learning Using Pre-Trained Models
Ready-to- Use Models from Lightning Flash
Time Series Models
Deep Generative Models
Semi-Supervised Learning
Self-Supervised Learning
Deploying and Scoring Models
Scaling and Managing Training

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ISBN-10

180056161X

ISBN-13

978-1800561618

Publisher

Packt Publishing

Price

46.99

File Type

PDF

Page No.

366

Kunal Sawarkar

Kunal Sawarkar is a Chief Data Scientist & AI thought leader. He currently leads worldwide AI Build ...

About the Author

Kunal Sawarkar is a Chief Data Scientist and AI thought leader. He leads the worldwide AI Build Labs responsible for crafting innovative products. He also serves as an Angel Invenstor with focus on sustainbility via AI and as an Advisory Board member. He holds a Master's degree from Harvard University with major coursework in Applied Statistics. He has been applying Machine Learning to solve previously unsolved problems in industry and society, with a special focus on Deep Learning. Kunal has led various product labs over the years and has 11+ patents and papers published in this field. When not diving into data, he enjoys rock climbing and learning to fly, in addition to an insatiable curiosity for astronomy and wildlife.

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

Artificial Intelligence

Deep Learning

PyTorch

Kunal Sawarkar

Packt Publishing

Kunal Sawarkar

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