Comparison of CNN training results using image datastore and image arrays
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The question pertains to the following example:
You can see the loss results when the image datastore object is used (as it is in the original example) below with the following function call:
net = trainNetwork(dsTrain,layers,options);
However, if you extract the same datastore (dsTrain) into 4d array of images and split the input and target images into XTrain and YTrain as follows:
net = trainNetwork(XTrain,YTrain,layers,options);
The following Loss curve is obtained:
I don't understand why this is the case, since XTrain and YTrain represent the same images as in the data store itself, and nothing else is changed, so why are the results different this time around?
Any help would be highly appreciated.