Deep Learning with TensorFlow: Explore neural networks and build intelligent systems with Python, 2nd Edition

**** "Deep Learning with TensorFlow: Explore neural networks and build intelligent systems with Python, 2nd Edition" presents a mixed experience for readers diving into the world of deep learning. The book boasts a well-organized overview of TensorFlow, which many users appreciated as a solid introduction to the subject. It stands out by integrating the native TensorFlow framework rather than solely relying on Keras, offering a deeper insight into the functionality of the library. However, these strengths are somewhat overshadowed by critical feedback regarding the amount of explanation accompanying the code. While the authors do provide examples and demonstrate coding practices, many readers felt that the explanations lacked sufficient depth and clarity. Users pointed out that the book often reads like a code repository rather than a comprehensive instructional guide, making it challenging for less experienced readers or those new to neural networks to fully grasp the concepts presented. The haste in which the code was explained left several feeling that they needed more thorough guidance, especially regarding the rationale behind specific choices in the coding process. Despite its shortcomings, the book is still viewed as an effective resource for those who are already familiar with foundational concepts in neural networks. More advanced learners can benefit from the structured approach to learning TensorFlow, while beginners may find themselves navigating a steep learning curve without adequate support. **