Restricted Bayesian Neural Network

arXiv:2403.04810v1 Announce Type: new
Abstract: Modern deep learning tools are remarkably effective in addressing intricate problems. However, their operation as black-box models introduces increased uncertainty in predictions. Additionally, they contend with various challenges, including the need for substantial storage space in large networks, issues of overfitting, underfitting, vanishing gradients, and more. This study explores the concept of Bayesian Neural Networks, presenting a novel architecture designed to significantly alleviate the storage space complexity of a network. Furthermore, we introduce an algorithm …

abstract arxiv bayesian box challenges concept cs.ai cs.lg cs.ne deep learning however modern network networks neural network overfitting predictions space storage study tools type uncertainty underfitting