This book is intended for anyone with some background in Python programming and image processing (such as knowing how to read and write image files, and how to edit their pixel values). With its gradual learning curve, this book targets not only deep learning novices but also experts who are curious about the new features of TensorFlow 2.
While some theoretical explanations require knowledge of algebra and calculus, concrete examples are provided for learners focused on practical applications. Step by step, you will tackle real-life tasks, such as visual recognition for self-driving cars and smartphone applications.
