Mastering Computer Vision with TensorFlow 2.x: Build advanced computer vision applications using machine learning and deep learning techniques

This book is a comprehensive guide to building state-of-the-art computer vision applications using Python and TensorFlow.

It covers key concepts, neural network architectures, and advanced techniques such as visual search, semantic segmentation, image inpainting with GANs, object tracking, video segmentation, action recognition, edge detection, and face recognition.

The book also provides detailed instructions on how to develop powerful neural network models on PC and cloud platforms, and optimize them for real-time inference on edge devices.

With this book, you'll gain a fundamental understanding of computer vision and deep learning, and be able to build your own advanced computer vision applications with ease.