A developer needs to recognize local visual patterns such as edges and textures in images. Which neural-network architecture is traditionally well suited to this structure?

1. A database index with no learned parameters
2. A convolutional neural network
3. A linear regression model used only to predict one scalar from a row identifier
4. A rule that always chooses the most common image label