I have a convolution neural network with layers like this:
layers = [ ...
imageInputLayer([1 5 1])
The idea is that I have multiple imputs of one row by 5 columns, a convolution 2d layer, and I am trying to classify this set as either 70 or 83 from a set of numbers. I usually get an accuracy of 50-55 percent. Is there anything that can be done to increase the accuracy or is it not suitable to use a CNN to classify from a random set of numbers?