Probabilistic deep learning : with Python, Keras, and TensorFlow Probability /
Dürr, Oliver(College teacher),author.
Sick, Beate,author.
Murina, Elvis,author.
"Exercises in Jupyter Notebooks"--Cover.
Includes index.
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.
Machine learning.
Machine learning
Neural networks (Computer science)
Bayesian statistical decision theory
Machine learning.
Neural networks (Computer science)