deep learning convnet with matlab

i want to divide the dataset into 3 parts ( training , validation , test ) with matlab

is this line true

 [trainingimages,valDigitData,testimage]=splitEachLabel(allimages,0.7,0.2,0.1 ,'randomize');

and then into the training option i add the

 trainingOptions('sgdm',....,'ValidationData',valDigitData,'ValidationFrequency',50)

is this ture

Answer 1

[Salma Hassan]

ok i found the answer

Create three new datastores from the files in imds. The first datastore imds60 contains the first 60% of files with the demos label and the first 60% of files with the imagesci label. The second datastore imds10 contains the next 10% of files from each label. The third datastore imds30 contains the remaining 30% of files from each label. If the percentage applied to a label does not result in a whole number of files, splitEachLabel rounds down to the nearest whole number.

[imds60, imds10, imds30] = splitEachLabel(imds,0.6,0.1)