2025-01-27171 Pages3680 USD
Visual deep learning refers to the use of deep learning techniques to analyze and extract information from visual data such as images and videos. This involves training neural networks to recognize patterns, objects, and features within visual content, enabling machines to understand and interpret visual information similar to how the human brain processes images. Visual deep learning algorithms have applications in various industries such as healthcare, automotive, retail, and security, where tasks like image recognition, object detection, facial recognition, and video analysis are crucial for automation, decision-making, and improving user experiences.
The market for visual deep learning is experiencing rapid growth driven by advancements in artificial intelligence, increasing adoption