Neural Networks in Computer Vision
Neural Networks in Computer Vision refers to the use of artificial neural networks to process and analyze visual data, such as images and videos. These networks are designed to mimic the way the human brain processes visual information, allowing computers to interpret and understand visual data. Neural networks in computer vision are used for tasks such as object recognition, image classification, segmentation, and scene understanding. By training these networks on large datasets, they can learn to recognize patterns and features in visual data, making them valuable tools for various applications in computer vision.