Essays about: "artificial neural network feature variable selection regularization overtraining lasso synaptic weight filter multi layer perceptron decay"

Found 1 essay containing the words artificial neural network feature variable selection regularization overtraining lasso synaptic weight filter multi layer perceptron decay.

  1. 1. Using LASSO regularization as a feature selection tool.

    University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    Author : Erik Torstensson; [2017]
    Keywords : artificial neural network feature variable selection regularization overtraining lasso synaptic weight filter multi layer perceptron decay; Science General;

    Abstract : The subject of deep learning has become increasingly popular, especially for machine learning applications where a large number of input variables have to be processed. However, there are instances of problem solving, where a full understanding of the variables is of high importance. READ MORE