Hi, how training and testing image using Multilayer Perceptron and image taken use k-fold validation for clasfication image leaf

I have pictures of leaves that will be train and test as many as 275 images, this image consists of 11 species. I have also extracted features, as many as 25 features I took. I do training and testing using Multilayer Perceptron with images taken for training and testing using k-fold validation. I still don't understand how to do that. I found and saw some pieces from the Multilayer Perceptron code, and have seen the use of K-fold validation. But that's just a few codes that I don't understand. The theory of Multilayer Perceptron and K-fold validation I understand but to implement in the program I cannot imagine it. I ask myself, which piece of code distinguishes between codes for training and testing? do I have to make 2 programs for training and testing or how?

I need help with the code that I will use in this training and testing process. I need help from comunity to complete my last project. Any advice will be help. Thanks