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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

Product type Paperback

Published in Apr 2022

Publisher Packt

ISBN-13 9781800561618

Length 366 pages

Edition 1st Edition

Languages

Python

Tools

PyTorch

Concepts

Artificial Intelligence

Authors (2):

Dheeraj Arremsetty

Kunal Sawarkar

View More author details

Table of Contents (15) Chapters

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

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Authors (2)

Dheeraj Arremsetty

Dheeraj Arremsetty

Dheeraj Arremsetty has several years of experience in guiding the business in Data science and technology, architecting and delivering concepts into viable business solutions, driving customers and users by value-added services, architecting and delivering leading-edge technology solutions for global companies. Recognized for strength in building highly scalable end-to-end data science platforms and technologies built on cloud infrastructure, big data, machine learning, deep learning, real-time architecture, data models and analysis, tools, and processes. Offering a unique combination of management experience, technical ability, and solid education with a proven history of consistent success across numerous disciplines.

See other products by Dheeraj Arremsetty

Kunal Sawarkar

Kunal Sawarkar

Kunal Sawarkar is a chief data scientist and AI thought leader. He leads the worldwide partner ecosystem in building innovative AI products. He also serves as an advisory board member and an angel investor. 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 and self-supervised learning. Kunal has led various AI product R&D labs and has 20+ patents and papers published in this field. When not diving into data, he loves doing rock climbing and learning to fly aircraft, in addition to an insatiable curiosity for astronomy and wildlife.

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