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

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Mastering Computer Vision with TensorFlow 2.x Build advanced computer vision applications using machine learning and deep learning techniques
English | 2020 | ISBN: 978-1838827069 | 430 Pages | True (PDF, EPUB, MOBI) + Code| 211.72 MB

Apply neural network architectures to build state-of-the-art computer vision applications using the Python programming language Key Features * Gain a fundamental understanding of advanced computer vision and neural network models in use today * Cover tasks such as low-level vision, image classification, and object detection * Develop deep learning models on cloud platforms and optimize them using TensorFlow Lite and the OpenVINO toolkit Book Description Computer vision allows machines to gain human-level understanding to visualize, process and analyze images and videos. This book focuses on using TensorFlow to help you learn advanced computer vision tasks such as image acquisition, processing, and analysis. You'll start with the key principles of computer vision and deep learning to build a solid foundation, before covering neural network architectures and understanding how they work rather than using them as a black box

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