The third video in our AI Education series discusses Convolutional Neural Nets. ConvNets are particularly useful for recognizing natural signals like images, videos, speech, music, and even text, once they have been trained with a large database of examples. To train a network well, you need to provide large amounts of images that have been labeled by humans. The ConvNet learns to associate each image to its corresponding label.