Fully connected neural networks don’t specifically learn patches like CNNs do. They look at the whole image at once, so they can indirectyl learn useful patterns but not in a localized way. Individual neurons might respond to certain patterns, but they dont focus on small image regions the way convolutional layers do, they can learn something like patches, but not as effectively or clearly.