The Streaming Approach to Training Restricted Boltzmann Machines

Piotr Duda, Leszek Rutkowski, Piotr Woldan, Patryk Najgebauer

Abstract: One of the greatest challenges facing researchers of machine learning algorithms nowadays is the desire to minimize the training time of these algorithms. One of the most promising and unexplored structures of the neural network is the Restricted Boltzmann Machine. In this paper, we propose to use the BBTADD algorithm for RBM training. The performance of the algorithm has been illustrated on one of the most popular data sets.