I'm currently developing my first Convolution Neural Network as a self-project on version 2020B, and I'm having some trouble understanding the different layer types and how to use the correct ones for my data.
I got my data from an Excel spreadsheet, which I separated into two arrays: trainClass and trainPixels. There are examples to work with, so I have trainClass as a array and trainPixels as a array. Each nested array in trainPixels contains the grayscale data of a picture, with trainClass having the classification of that picture.
Since this is my first time working with Neural Nets in MATLAB, could someone point me in the right direction as to how to develop and train a CNN to process this information? It would be greatly appreciated. Thanks!