Let's zoom in on the word "Ada." Here is what the convolution process would look like for the letter A. When the "A" filter overlies the letter "A" in the original image, the convolution output would generate a strong signal. This signal would then be mapped onto something called a feature map. The feature map represents how well elements in the image align with the filter. If something is there, the signal outputs white. If nothing is there, the signal outputs black. CNNs generate a feature map for every filter.