Before revision:  This understanding of an optimal distribution for random features is used to construct a new training method for a deep residual network that shows promising results .
After revision:  This understanding of an optimal distribution for random features is used to construct a new training method for a deep residual network . Promising performance of the proposed new algorithm is demonstrated in computational experiments .