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Deep Learning with PyTorch Lightning

You're reading from   Deep Learning with PyTorch Lightning Swiftly build high-performance Artificial Intelligence (AI) models using Python

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Product type Paperback
Published in Apr 2022
Publisher Packt
ISBN-13 9781800561618
Length 366 pages
Edition 1st Edition
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Authors (2):
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Dheeraj Arremsetty Dheeraj Arremsetty
Author Profile Icon Dheeraj Arremsetty
Dheeraj Arremsetty
Kunal Sawarkar Kunal Sawarkar
Author Profile Icon Kunal Sawarkar
Kunal Sawarkar
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Table of Contents (15) Chapters Close

Preface 1. Section 1: Kickstarting with PyTorch Lightning
2. Chapter 1: PyTorch Lightning Adventure FREE CHAPTER 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

Getting started with Lightning Flash

Imagine you are in the mood to eat Indian food. There are various ways you can go about cooking it. You can get all the veggies, the flour to make dough, and the all-important spices, which you then crush in the right quantities one by one. Once ready, you can cook it by following the proper process. Needless to say, doing so requires immense knowledge of spices and which one goes into which curry, in what quantity, in what sequence, and how long it needs to be cooked.

If you think you are not so much of an expert, the second option is to use ready-to-use spices (such as chicken tikka masala or biryani masala) and just add them to your raw ingredients and cook them. While this definitely simplifies cooking than the first step, this still requires a bit of cooking, but without worrying too much about the nitty-gritty, you can still get good results.

But even the second option is a bit time-consuming, and if you want to get it quickly, then...

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