Convolutional neural networks are like a step up from regular neural networks. They work by looking at images and patterns, which means they can learn from and respond to things much faster than regular neural networks. They do this by recognizing features that are similar and grouping them together, just like people do, so they can recognize objects much more easily and quickly.