To retrieve the data from the text file, you can use “readtable” function in this way:
tbl=readtable('test.txt','Format','%s%f');
This will save the data in the desired format.
In “trainNetwork” function, you can provide a table as input but in this table first column[KP1] should contain the ‘Predictor’ information corresponding to each observation. Here, each row corresponds to each separate observation. Now, Predictor can be absolute/relative file path to an image, specified as a character vector or any image specified as a 3D numeric array. 2nd input is the ‘responseName’ which is in this case is ‘Percent’.
Now, after defining your network (“layers”) and training options (“options”) you can use this:
net = trainNetwork(tbl,'Percent',layers,options);
