Cross -validation in nprtool (Deep Learning Toolbox)

Please let know how is Cross -validation implemented in the the nprtool (Deep Learning Toolbox)?

[Yogini Prabhu]

please answer this urgenty!

[Walter Roberson]

This appears to duplicate https://www.mathworks.com/matlabcentral/answers/837978-cross-validation-implemented-in-the-the-nprtool?s_tid=srchtitle

[Yogini Prabhu]

yes it is

I will remove it , once I get the answer

[Matt J]

I will reove once I get the answer

No, you won't be able to, once an Answer is given. Please don't post duplicates.

[Yogini Prabhu]

I am sorry for posting duplicates

But, disappointedly, there is no answer to my question either

Answer 1

[Rhea Chandy]

If you're looking for more information about the Neural Network Pattern Recognition App (nprtool), please refer to this documentation: Classify Patterns with a Shallow Neural Network

[Yogini Prabhu]

I have done it

specifically wanted info on CV

[Yogini Prabhu]

I am elaborating my question here once again;-

I want to know from yourself how to spot and explain to me, how is the process of cross-valiation (CV) been done for ' neural networks'?

the CV step is evidently and clearly seen for any of all different machine learning algorithms ( be it SVM,KNN,etc.) during the execution of the 'classification learner app',

however CV is not there in the app of 'Statistics and Machine learning'.

Please clarify the doubt reagarding CV in the Statistics and Machine learning app.