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

Deep Learning with PyTorch Lightning: Swiftly build high-performance Artificial Intelligence (AI) models using Python
ISBN-10
1800569270
ISBN-13
9781800569270
Category
Computers
Pages
366
Language
English
Published
2022-04-29
Publisher
Packt Publishing Ltd
Author
Kunal Sawarkar

Description

Build, train, deploy, and scale deep learning models quickly and accurately, improving your productivity using the lightweight PyTorch Wrapper Key FeaturesBecome well-versed with PyTorch Lightning architecture and learn how it can be implemented in various industry domainsSpeed up your research using PyTorch Lightning by creating new loss functions, networks, and architecturesTrain and build new algorithms for massive data using distributed trainingBook 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 learnCustomize models that are built for different datasets, model architectures, and optimizersUnderstand how a variety of Deep Learning models from image recognition and time series to GANs, semi-supervised and self-supervised models can be builtUse out-of-the-box model architectures and pre-trained models using transfer learningRun and tune DL models in a multi-GPU environment using mixed-mode precisionsExplore techniques for model scoring on massive workloadsDiscover troubleshooting techniques while debugging DL modelsWho 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.

Similar books

  • Family History Digital Libraries
    By William Sims Bainbridge

    One named Sara and Timberlake had 11 male workers, 1 female worker, and 4 children workers, so it might have employed the Minor family.

  • Foundation Dreamweaver MX
    By Craig Grannell, Jerome Turner, Matt Stephens

    So here's what we need to do to arrive at our layout: s Create the main table to hold all the page elements. s Deal with the navigation area which is ...

  • Cisco CCNA Certification, 2 Volume Set: Exam 200-301
    By Todd Lammle

    This inclusive, two-book set provides what you need to know to succeed on the new CCNA exam. The set includes Understanding Cisco Networking Technologies: Volume 1 and the CCNA Certification Study Guide: Volume 2.

  • CompTIA Network+ Study Guide: Exam N10-006
    By Todd Lammle

    ... you can use: –a –A –c –n –r –R –S –s All nbtstat switches are case sensitive. Generally speaking, lowercase switches deal with NetBIOS names of hosts, ...

  • CompTIA Network+ Study Guide with Online Labs: N10-007 Exam
    By Todd Lammle, Jon Buhagiar

    ... you can use: –a –A –c –n –r –R –S –s All nbtstat switches are case sensitive. Generally speaking, lowercase switches deal with NetBIOS names of hosts, ...

  • CCNA: Cisco Certified Network Associate FastPass
    By Todd Lammle

    S The S reference point defines the point between the customer router and an ... with the letter E deal with using ISDN on the existing telephone network.

  • Stranger in the Chat Room
    By Todd Hafer, Jedd Hafer

    A sequel to In the Chat Room With God finds a group of teens contacted by a mysterious and increasingly malevolent character who claims to know about their encounters with the Almighty and challenges their beliefs. Original.

  • Error Correction Coding: Mathematical Methods and Algorithms
    By Todd K. Moon

    M M−1∑ k=0 −∞ ∞ k=0 The average energy per signal E s ∫ can be related to the ... we will deal primarily with additive white Gaussian noise (AWGN), ...

  • Security+ Training Guide
    By Todd King

    ... to deal with most , but unfortunately not all , of these potential threats . ... The S / MIME standard implements encryption for message content using ...

  • CCDA: Cisco Certified Design Associate Study Guide: Exam 640-861
    By Todd Lammle, Andy Barkl

    S reference point The S reference point defines the reference point between ... with the letter E deal with using ISDN on the existing telephone network.