Example Concept: Convolutional Neural Networks (CNNs) are a type of deep learning model that excel at image recognition tasks. They work by applying a series of filters to the input image, which helps in detecting edges, textures, and patterns. These features are then pooled and passed through fully connected layers to classify the image into categories. The model is trained using labeled datasets, allowing it to learn which features correspond to specific objects or scenes.