Svm, Cnn, Computer Vision, Machine Learning, Meta.
generalization performance on real-world problems cannot be achieved unless some prior knowledge about the task is built into the system. Back-propagation networks provide a way of specifying such knowledge by imposing constraints both on the architecture of the network and on its weights. In