Enhancing Deep Learning with Bayesian Inference. Create more powerful, robust deep learning systems with Bayesian deep learning in Python - Helion
Tytuł oryginału: Enhancing Deep Learning with Bayesian Inference. Create more powerful, robust deep learning systems with Bayesian deep learning in Python
ISBN: 9781803237251
stron: 386, Format: ebook
Data wydania: 2023-06-30
Księgarnia: Helion
Cena książki: 159,00 zł
Deep learning is revolutionizing our lives, impacting content recommendations and playing a key role in mission- and safety-critical applications. Yet, typical deep learning methods lack awareness about uncertainty. Bayesian deep learning offers solutions based on approximate Bayesian inference, enhancing the robustness of deep learning systems by indicating how confident they are in their predictions. This book will guide you in incorporating model predictions within your applications with care.
Starting with an introduction to the rapidly growing field of uncertainty-aware deep learning, you’ll discover the importance of uncertainty estimation in robust machine learning systems. You’ll then explore a variety of popular Bayesian deep learning methods and understand how to implement them through practical Python examples covering a range of application scenarios.
By the end of this book, you’ll embrace the power of Bayesian deep learning and unlock a new level of confidence in your models for safer, more robust deep learning systems.
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Spis treści
Enhancing Deep Learning with Bayesian Inference. Create more powerful, robust deep learning systems with Bayesian deep learning in Python eBook -- spis treści
- 1. Bayesian Inference in the Age of Deep Learning
- 2. Fundamentals of Bayesian Inference
- 3. Fundamentals of Deep Learning
- 4. Introducing Bayesian Deep Learning
- 5. Principled Approaches for Bayesian Deep Learning
- 6. Using the Standard Toolbox for Bayesian Deep Learning
- 7. Practical considerations for Bayesian Deep Learning
- 8. Applying Bayesian Deep Learning
- 9. Next Steps in Bayesian Deep Learning