As a result of leveraging deep learning methods such as convolutional neural networks (CNNs), computer vision is attaining new heights in fields including health, the automotive sector, social media, and robotics. Whether to automate complex tasks, to guide experts in their work, or to help artists in their creative process, more and more companies are integrating computer vision solutions.
In this book, we will explore TensorFlow 2, the brand new version of Google's open source framework for machine learning. Covering its key features, as well as state-of-the-art solutions, we will demonstrate how to efficiently build, train, and deploy CNNs for a variety of real-life tasks.
