- 书名:Probabilistic Deep Learning: With Python, Keras and TensorFlow Probability
- 出版社:Manning Publications
- 作者:Oliver Dürr & Beate Sick & Elvis Murina [Dürr, Oliver & Sick, Beate & Murina, Elvis]
- 出版年份:2020
- 电子书格式: epub
- 简介:Dive into the world of probabilistic deep learning with this comprehensive guide. Master the art of building robust and uncertainty-aware AI models using Python, Keras, and TensorFlow Probability. This book provides a practical, hands-on approach, covering Bayesian neural networks, variational inference, and more. Ideal for data scientists, machine learning engineers, and anyone seeking to enhance their deep learning skills with probabilistic methods. Learn to handle uncertainty, improve model reliability, and unlock the full potential of deep learning for real-world applications. From foundational concepts to advanced techniques, this book empowers you to build more robust and insightful AI systems.
- ISBN:9781617296079, 16172
- 下载地址(点击下载):
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