Recognizing Handwritten Digits using Products of Experts

For recognizing handwritten digits,the training process of the network to need to waste a great deal of time.How to optimizing training time is importance.We can use the Products of Experts to solve it.During the training period,Every digit need to set up a expert model to have a training which only for samples of themselves so that the characteristic of probability distribution of different digital model could get from it.Probability distribution got from mixed training sample under different model will be sent to a classification network to be the training sample.Each digital model is independent so that trained in parallel could decrease system test time.Though the testing we could get pretty ideal recognizing result.This will turn out that Products of Experts is really a perfect model.