Memory Association Networks

Various networks have been designed in the deep learning field to date. Typically, images, sounds, text, hierarchical, and relational data are learned through the networks, and inductive learning is performed. But these networks are limited to specific datasets or specific tasks. Therefore, we designed artificial association networks that can simultaneously learn various datasets in one network like humans. And in the second study, deductive association networks were proposed to perform deductive reasoning.