Deep Learning, Regularisation, Optimization Algorithms, Deep Neural Networks, Gradient Descent.
At the output layer, instead of having a single unit, we have units equal to the total number of classes (4 in our case). Each unit tells us the probability of the image falling in different classes. Since it tells the probability, the sum of values from each unit is always equal to 1. This is how