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.
A fresh approach on deep learning.
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Smoothly introduces the mathematical concepts, and if you don't come from a statistical or mathematical background don’t worry –the book will provide you with an appropriate overview.
Thorough, clearly written, and actionable.
A thorough grounding in the subject.
It feels more like sitting in a lecture room as opposed to reading an academic book.