I'm trying to learn about ANNs. If anyone can tell me my understanding is correct that'd be fantastic.
So if an ANN was to be used for an image classification task - white background with a black alphabetic character written on it. The inputs are each pixel. What I believe is that the ANN learns to increase the weights for the darkened spots and decrease them for the blank background that resides behind the blackened alphabet character. Am I on the right track?