Svd, Dropout Regularization, Portfolio Management.
eigenvectors of the weight matrix at each layer of the neural network. This technique speeds up training significantly without negatively impacting the performance. In other words, by limiting the number of weights that get updated at each pass to the ‘most important’ ones, i.e. eigenvectors, we