CNN.m

classdef CNN < handle
properties
layers = [];
end
methods
    function addLayer(CNN, type, numberOfFilters, filterDimension, activationFunction, prevDimension, fanIn, fanOut)
    CNN.layers = [CNN.layers; [type, numberOfFilters, filterDimension, activationFunction, prevDimension, fanIn, fanOut] ];
  end 
  function constructLayers(CNN)
    % CNN.layers = Layers(CNN.layers)
    CNN.layers = Layer(CNN.layers);
  end
  function output = forwardPropagation(CNN, input)
    prev_output = input;
    size_cnn_layers = size(CNN.layers) - 1;
    for i = 1:size_cnn_layers(2)
      prev_output = CNN.layers(i).layerFunction(prev_output);       
      size(prev_output);
     end
     output = prev_output;
%      disp(output)
  end
  
  function backwardPropagation(CNN, actualY, input)
      for i = flip(1:size(CNN.layers, 2)-1)
          k = i+1;
          if(i==size(CNN.layers, 2)-1)
              k = i; 
          end
          %Check prev output
          if(i==1)
              prevOutput = input;
          else
              prevOutput = CNN.layers(i-1).layerOutput;
          end
          
          CNN.layers(i).calculateError(CNN.layers(k), actualY, prevOutput);
      end
  end
  function print(CNN)
      disp("CNN")
      for i = 1:size(CNN.layers)
          disp("Layer filters: ")
          disp(CNN.layers(i).filters)
          disp("Layer Output: ")
          disp(CNN.layers(i).layerOutput)
      end
  end
  
end
end