As listed in the doc at https://www.mathworks.com/help/matlab/ref/matlab.io.datastore.spreadsheetdatastore.html, the purpose of spreadsheetDatastore is as follows: "Use a spreadsheetDatastore object to manage large collections of spreadsheet files where the collection does not necessarily fit in memory. You can create a spreadsheetDatastore object using the spreadsheetDatastore function, specify its properties, and then import the data using object functions."
Since you have only 5 spreadsheets which are each 200x100 in size, all of the data from all 5 spreadsheets can fit easily in memory. So, you might just want to load all of the data into a single table, and then do classification experiments with the Classification Learner app from the Statistics and Machine Learning Toolbox. Classification Learner includes the ability to train many types of machine learning models, including neural networks. You could also train neural networks using the Deep Learning Toolbox.
Even though your data is small enough to fit in memory, if you still want to use spreadsheetDatastore, the doc page https://www.mathworks.com/help/matlab/ref/matlab.io.datastore.spreadsheetdatastore.html should provide the info that you need.
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