Convolutional Neural Networks (CNNs) are a class of deep learning algorithms specifically designed for processing structured grid data, like images. They leverage convolutional layers to automatically and adaptively learn spatial hierarchies of features from input images, making them particularly effective in tasks such as image classification, object detection, and segmentation. CNNs utilize various components like pooling layers, activation functions, and fully connected layers to enhance their performance in analyzing visual data.
congrats on reading the definition of CNNs. now let's actually learn it.