I have now finished writing my CNN and now using my training data that I have finally finish organising to begin to train the network to identify the expression based on the face, I am right now using a very basic linear convolutional neural network to train it based on filters and kernel, right now I have 3 different Conv layers and in total 12 layers including the input layer with over 683000 parameters which is quite nice, this should provide me with enough complexity to actually get this working. Now I will be working towards just feeding my organised FER-2013 training data into the neural network and using keras will hopefully avoid the stupid amount of maths I need to do for like the layers e.g. gradient descent and backpropagation.