From Probabilistic Deep Learning with Python by Oliver Dürr, Beate Sick, and Elvis Murina
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Probabilistic Deep Learning with Python teaches the increasingly popular probabilistic approach to deep learning that allows you to tune and refine your results more quickly and accurately without as much trial-and-error testing. Emphasizing practical techniques that use the Python-based Tensorflow Probability Framework, you’ll learn to build highly-performant deep learning applications that can reliably handle the noise and uncertainty of real-world data.
