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. https://foldlyers.shop/product-category/laptop-power-supplies/