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Deep Learning with PyTorch Lightning

You're reading from  Deep Learning with PyTorch Lightning

Product type Book
Published in Apr 2022
Publisher Packt
ISBN-13 9781800561618
Pages 366 pages
Edition 1st Edition
Languages
Author (1):
Kunal Sawarkar Kunal Sawarkar
Profile icon Kunal Sawarkar

Table of Contents (15) Chapters

Preface 1. Section 1: Kickstarting with PyTorch Lightning
2. Chapter 1: PyTorch Lightning Adventure 3. Chapter 2: Getting off the Ground with the First Deep Learning Model 4. Chapter 3: Transfer Learning Using Pre-Trained Models 5. Chapter 4: Ready-to-Cook Models from Lightning Flash 6. Section 2: Solving using PyTorch Lightning
7. Chapter 5: Time Series Models 8. Chapter 6: Deep Generative Models 9. Chapter 7: Semi-Supervised Learning 10. Chapter 8: Self-Supervised Learning 11. Section 3: Advanced Topics
12. Chapter 9: Deploying and Scoring Models 13. Chapter 10: Scaling and Managing Training 14. Other Books You May Enjoy

Who this book is for

If you have always been curious about DL but don't know where to start or feel intimidated by the complexities of large neural networks, then this book is ideal for you! It will make DL feel like a cakewalk!

This Deep Learning with PyTorch Lightning book is primarily for citizen data scientists who are beginning their DL journey and need a practical guide to ace their game! It is also beneficial to expert data scientists making the transition from other frameworks to PyTorch Lightning. This book will also appeal to DL researchers who are just getting started with coding for DL models using PyTorch Lightning by serving as a ready reckoner.

Working knowledge of Python programming and an intermediate level understanding of statistics and DL fundamentals is expected.

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