Mastering Computer Vision with TensorFlow 2.x: Build advanced computer vision applications using machine learning and deep learning techniques - Paperback
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Covers advanced computer vision techniques such as semantic segmentation and image inpainting for hands-on learning
Utilizes TensorFlow 2.x and Python to build and optimize deep learning models for practical application
Explains both traditional and modern neural network architectures for a comprehensive understanding
Includes step-by-step guidance on deploying models on cloud platforms and edge devices for real-time inference
Provides practical examples and exercises to reinforce learning and apply concepts to real-world scenarios
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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