Convolutional Neural Networks
Convolutional Neural Networks (CNNs) are a type of deep learning model inspired by the structure and function of the visual cortex in animals. They excel at processing grid-like data, such as images, and have revolutionized the field of computer vision by enabling state-of-the-art performance in tasks like object detection, image recognition, and segmentation. CNNs consist of layers that learn increasingly abstract features through a process called convolution, which involves applying filters to input data to extract relevant information. These networks are an integral part of artificial intelligence technology, empowering machines to analyze, interpret, and understand visual content with unprecedented accuracy and efficiency. As such, CNNs play a crucial role in modern technology, driving advancements in areas like autonomous vehicles, medical imaging, and security systems.