In Deep Learning in Action: Image and Video Processing for Practical Use, the journey begins with a comprehensive exploration of artificial intelligence and its evolution, laying the groundwork with fundamental concepts in deep learning. The power of deep learning unfolds through an indepth examination of neural networks, particularly convolutional neural networks (CNNs), pivotal for tasks like object detection and classification. Autoencoders and their role in computer vision applications, alongside the integration of deep learning into embedded systems, underscore the transformative potential in real-world scenarios. Understanding the nuances of image and video data, from formats to processing methods, sets the stage for practical applications across diverse industries, bridging theoretical concepts with pragmatic solutions. Each chapter unfolds with a strategic focus: from enhancing safety measures through AI-powered video analysis in scenarios like fire detection and social distancing enforcement to leveraging deep learning for tasks as nuanced as fingerprint image restoration and medical image analysis.
