Probabilistic Deep Learning: With Python, Keras and Tensorflow Probability Paperback – 8 Feb. 2021

The book "Probabilistic Deep Learning: With Python, Keras and Tensorflow Probability" has garnered mixed reviews from customers, reflecting a blend of appreciation and criticism that illuminate different facets of the reading experience. It is noted for being well-written and easy to follow, which makes it a suitable introduction for those new to the field. Many reviewers commend the clarity of the explanations and the inclusion of code examples and graphical representations that enhance understanding. However, some users feel the book falls short of expectations, particularly regarding depth. They argue that the initial sections serve more as an introduction to deep learning and TensorFlow rather than delving into the probabilistic aspects, which only begin around the middle of the text. As a result, readers seeking comprehensive insights into probabilistic deep learning may find the content too superficial and even question the book's overall value compared to online courses that might provide a more practical and extensive learning experience. Editing errors have also been a recurring theme in the feedback, with numerous reviewers highlighting issues such as typos and translation mistakes, which detract from the professionalism of the material. Overall, while the text offers a friendly entry point into the subject, it may not meet the expectations of seasoned practitioners or those seeking in-depth knowledge on probabilistic methods in deep learning. **