Abstract: Modern deep neural networks, particularly recent large language models, come with massive model sizes that require significant computational and storage ...
We present a machine learning method based on random projections with Johnson-Lindenstrauss (JL) and/or Rahimi and Recht (2007) Random Fourier Features (RFFN) for efficiently learning linear and ...
Abstract: This article focuses on the design of a distributed neural network controller to address the unknown disturbance and error convergence problems in multiple ...
This repo contains an App Designer app for training an image classification deep neural networks in MATLAB. Using this app, you can: Import data and apply standard augmentations. Choose a pretrained ...