Svd, Dropout Regularization, Portfolio Management.
linear transformation associate to a matrix stretches the unit ball, direction and magnitude, based on its singular values and some eigenvalues and eigenvectors. In Deep Learning, vanishing/exploding gradients is an important concern. Drop-out layer randomly sets some weights to zero and helps