Group Sparse Regularization for Deep Neural Networks

2 Jul 2016Simone ScardapaneDanilo ComminielloAmir HussainAurelio Uncini

In this paper, we consider the joint task of simultaneously optimizing (i) the weights of a deep neural network, (ii) the number of neurons for each hidden layer, and (iii) the subset of active input features (i.e., feature selection). While these problems are generally dealt with separately, we present a simple regularized formulation allowing to solve all three of them in parallel, using standard optimization routines... (read more)

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