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://parisnaturalfoodes.shop/product-category/clo-lemon/