I want to do classification using ANN 'patternnent' function. I am new to ANN. I have already normalised data and also divided into train and test dataset. Further, I want to divide train data into three equal parts and perform cross-validation technique, later I want to apply the best model on test dataset to calculate the accuracy. I am unable to understand how to use the 'patternnet' and other functions and complete the task the way I want. Could you please help me out? Thank you.
MATLAB: How not to normalize the data in patternnet function and how to do K-fold cross validation technique
cross-validationDeep Learning Toolboxneural networknormalization
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