The authors find the problem of privacy preserving back propagation algorithm for a vertically partitioned dataset. To improve the learning, enhanced data is more important to find the exact privacy concern of each data holder by extending the privacy preservation suggested to original learning algorithms. In this paper, they try to improve preserving the privacy in an important multilayer neural networks and learning model. They present a privacy preserving multiparty distributed algorithm of back propagation which allows a neural network to be trained without requiring either party to reveal the user data to the others.