DNN (Deep Neural Network)

Deep neural network (DNN) with weight sparsity control (i.e., L1-norm regularization) improved the classification performance using whole-brain resting-state functional connectivity patterns of schizophrenia patient and healthy groups. Initializing DNN’s weights through stacked auto-encoder enhanced the classification performance as well. (Kim et al., NI, 2016). Here, we provide MATLAB and Python based codes in terms of the DNN with the weight sparsity control (MATLAB code / Python code download...

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