EMERGENCE OF HIERARCHICAL MODES FROM DEEP LEARNING

Large-scale deep neural networks consume expensive training costs, but the training results in less-interpretable weight matrices constructing the networks.Here, we propose a mode decomposition learning that can interpret the weight matrices as a hierarchy of latent modes.These modes are akin to patterns in physics studies of memory networks, but t

The investigation of stress field and plastic zone distribution at the closed crack tip provides a fundamental basis for failure analysis Hair Colour Retouch and life prediction of geotechnical materials.Closed crack is a common crack in geotechnical materials.Studying the distribution of stress field and plastic zone at the tip of closed crack can