arXiv cs.NE
· Papers
Energy-Efficient Information Representation in MNIST Classification Using Biologically Inspired Learning
arXiv:2603.00588v1 Announce Type: cross Abstract: Efficient representation learning is essential for optimal information storage and classification. However, it is frequently overlooked in artificial neural networks (ANNs). This neglect results in networks that can become overparameterized by factors of up to 13, incre