%0 Journal Article %J Nature Communications %D 2020 %T Complexity Control by Gradient Descent in Deep Networks %A Tomaso Poggio %A Qianli Liao %A Andrzej Banburski %X

Overparametrized deep network predict well despite the lack of an explicit complexity control during training such as an explicit regularization term. For exponential-type loss functions, we solve this puzzle by showing an effective regularization effect of gradient descent in terms of the normalized weights that are relevant for classification.

%B Nature Communications %V 11 %8 02/2020 %G eng %U https://www.nature.com/articles/s41467-020-14663-9 %R https://doi.org/10.1038/s41467-020-14663-9