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cs.NE2018
A Practical Approach to Sizing Neural Networks
Gerald Friedland, Alfredo Metere, Mario Krell
Memorization is worst-case generalization. Based on MacKay's information theoretic model of supervised machine learning, this article discusses how to practically estimate the maxi…
cs.NE2017★ 9 cited
A Capacity Scaling Law for Artificial Neural Networks
Gerald Friedland, Mario Krell
We derive the calculation of two critical numbers predicting the behavior of perceptron networks. First, we derive the calculation of what we call the lossless memory (LM) dimensio…