Let Me simplify this question.
让我简化这个问题。
If I run opencv MLP train and classify consecutively on the same data, I get different results. Meaning, if I put training a new mlp on the same train data and classifying on the same test data in a for loop, each iteration will give me different results. Even though I am creating a new mlp object each iteration. However, if instead of using a for loop I just run the program a few times, restarting the program after each train and classify; the results are exactly the same.If
