Book

Enhancing Deep Learning with Bayesian Inference

This book provides a comprehensive introduction to Bayesian deep learning methods for machine learning researchers and practitioners. It discusses the importance of uncertainty in machine learning, covers numerous methods for uncertainty-aware deep networks, and provides detailed code examples in Python to assist you throughout your exploration.

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Difficulty Level
Intermediate
Completion Time
12h52m approx.
Language
English
Certification
Not available

About Course

Book Content

chapters 12h52m total length

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

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