Compete to Compute
Rupesh K Srivastava ⋅ Jonathan Masci ⋅ Sohrob Kazerounian ⋅ Faustino Gomez ⋅ Jürgen Schmidhuber
2013 Poster
Abstract
Local competition among neighboring neurons is common in biological neural networks (NNs). We apply the concept to gradient-based, backprop-trained artificial multilayer NNs. NNs with competing linear units tend to outperform those with non-competing nonlinear units, and avoid catastrophic forgetting when training sets change over time.
Chat is not available.
Successful Page Load