Researchers apply Stochastic Gradient Descent (SGD) as one of the most famous optimization techniques for MF. Paralleling SGD methods help address big data challenges due to the wide range of products ...

This paper aims to discuss the convergence of the stochastic gradient decent algorithm with momentum for feed-forward networks without hidden layers. Assuming that the required sample set is linearly ...