Hey, check out the following link, you may get some idea about your question

https://www.mathworks.com/help/deeplearning/ref/classify.html

use mathwork site it contains useful information about your research

As a clue to understand classification via DL, please follow: https://au.mathworks.com/help/deeplearning/examples/create-simple-deep-learning-network-for-classification.html;jsessionid=7018848c980ee0578db631fd32eb

Hello dear check the website below maybe it be helpful

https://www.mathworks.com/help/deeplearning/gs/classify-patterns-with-a-neural-network.html

Dear Ali Faddouli I don't find my required answer in shared link, anyhow thank you for sharing your opinion.

Hey, check out the following link, you may get some idea about your question

https://www.mathworks.com/help/deeplearning/ref/classify.html

I agree with Ahmed Rafid Hashim >>> or type an key command at the help inside the matlab..

Regards;

Thnak you Mokhaled Al-Hamadani . Kindly tell me, which oldest version support the mentioned Classify (net, imds) command?

You can use the command classify

imds command used for image data store, and net command, both works fine on 2018a, but never tried on older versions

Sayila Bala Gangadhara Tilak Babu you're welcome; since it has been introduced the following command in 2016, so you can use it in this version and so on. I've tried it in the 2014 student version, it doesn't support the following command.

Thank you @Mokhaled

nntool

Hi,

Firstly define a network like this:

net=patternnet(hiddensize);

Then use the training data and train like this:

net=train(net, X, T);

where X is your samples matrix and T is the corresponding labels.

After the training step you can test the network like this:

y= net(x_new)

classify(net, imdsTest)