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Enhancing Deep Learning with Bayesian Inference

You're reading from   Enhancing Deep Learning with Bayesian Inference Create more powerful, robust deep learning systems with Bayesian deep learning in Python

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Product type Paperback
Published in Jun 2023
Publisher Packt
ISBN-13 9781803246888
Length 386 pages
Edition 1st Edition
Languages
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Authors (3):
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Jochem Gietema Jochem Gietema
Author Profile Icon Jochem Gietema
Jochem Gietema
Marian Schneider Marian Schneider
Author Profile Icon Marian Schneider
Marian Schneider
Matt Benatan Matt Benatan
Author Profile Icon Matt Benatan
Matt Benatan
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Table of Contents (11) Chapters Close

Preface 1. Chapter 1: Bayesian Inference in the Age of Deep Learning 2. Chapter 2: Fundamentals of Bayesian Inference FREE CHAPTER 3. Chapter 3: Fundamentals of Deep Learning 4. Chapter 4: Introducing Bayesian Deep Learning 5. Chapter 5: Principled Approaches for Bayesian Deep Learning 6. Chapter 6: Using the Standard Toolbox for Bayesian Deep Learning 7. Chapter 7: Practical Considerations for Bayesian Deep Learning 8. Chapter 8: Applying Bayesian Deep Learning 9. Chapter 9: Next Steps in Bayesian Deep Learning 10. Why subscribe?

9.2 How are BDL methods being applied to solve real-world problems?

Just as deep learning is having an impact on a diverse variety of application domains, BDL is becoming an increasingly important tool, particularly where large amounts of data are being used within safety-critical or mission-critical systems. In these cases – as is the case for most real-world applications – being able to quantify when models ”know they don’t know” is crucial to developing reliable and robust systems.

One significant application area for BDL is in safety-critical systems. In their 2019 paper titled Safe Reinforcement Learning with Model Uncertainty Estimates, Björn Lütjens et al. demonstrate that the use of BDL methods can produce safer behavior in collision-avoidance scenarios (the inspiration for our reinforcement learning example in Chapter 8, Applying Bayesian Deep Learning).

Similarly, in the paper Uncertainty-Aware Deep Learning for Safe Landing...

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