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Probabilistic deep learning : with Python, Keras, and TensorFlow Probability / Oliver Dürr, Beate Sick ; with Elvis Murina.
- Format:
- Book
- Author/Creator:
- Dürr, Oliver, author.
- Sick, Beate, author.
- Language:
- English
- Subjects (All):
- Machine learning.
- Neural networks (Computer science).
- Physical Description:
- 1 online resource (245 pages)
- Place of Publication:
- Shelter Island, New York : Manning, [2020]
- Summary:
- "A hands-on guide to the principles that support neural networks"-- Page 4 of cover.
- Contents:
- Part 1, Basics of deep learning. Introduction to probabilistic deep learning ; Neural network architectures ; Principles of curve fitting
- Part 2, Maximum likelihood approaches for probabilistic DL models. Building loss functions with the likelihood approach ; Probabilistic deep learning models with TensorFlow Probability ; Probabilistic deep learning models in the wild
- Part 3, Bayesian approaches for probabilistic DL models. Bayesian learning ; Bayesian neural networks.
- Notes:
- Description based on print version record.
- Includes index.
- ISBN:
- 9781638350408
- 163835040X
- OCLC:
- 1257075653
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