Convolutional neural networks (CNNs) are a type of deep learning model that use convolutional and pooling layers to automatically extract features from image and signal data, enabling applications such as image recognition, object detection, and natural language processing. As a key technology driving advancements in computer vision and AI research, CNNs have become a crucial tool for researchers and developers seeking to build intelligent systems that can interpret and understand complex data, with applications in fields ranging from healthcare and robotics to autonomous vehicles and surveillance.
Stories
4 stories tagged with convolutional neural networks