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Deep Learning for Time Series Cookbook

You're reading from   Deep Learning for Time Series Cookbook Use PyTorch and Python recipes for forecasting, classification, and anomaly detection

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Product type Paperback
Published in Mar 2024
Publisher Packt
ISBN-13 9781805129233
Length 274 pages
Edition 1st Edition
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Authors (2):
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Luís Roque Luís Roque
Author Profile Icon Luís Roque
Luís Roque
Vitor Cerqueira Vitor Cerqueira
Author Profile Icon Vitor Cerqueira
Vitor Cerqueira
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Table of Contents (12) Chapters Close

Preface 1. Chapter 1: Getting Started with Time Series FREE CHAPTER 2. Chapter 2: Getting Started with PyTorch 3. Chapter 3: Univariate Time Series Forecasting 4. Chapter 4: Forecasting with PyTorch Lightning 5. Chapter 5: Global Forecasting Models 6. Chapter 6: Advanced Deep Learning Architectures for Time Series Forecasting 7. Chapter 7: Probabilistic Time Series Forecasting 8. Chapter 8: Deep Learning for Time Series Classification 9. Chapter 9: Deep Learning for Time Series Anomaly Detection 10. Index 11. Other Books You May Enjoy

Technical requirements

In this chapter, we’ll leverage the following Python libraries, all of which you can install using pip:

  • PyTorch Lightning (2.1.4)
  • PyTorch Forecasting (1.0.0)
  • torch (2.2.0)
  • ray (2.9.2)
  • numpy (1.26.3)
  • pandas (2.1.4)
  • scikit-learn (1.4.0)
  • sktime (0.26.0)

The code for this chapter can be found in this book’s GitHub repository: https://github.com/PacktPublishing/Deep-Learning-for-Time-Series-Data-Cookbook.

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