Machine Learning, Single Layer Perceptron, Neural Networks, Matlab.
problem, the output layer has c neurons, one for each class. The input features are multiplied by the weights and added to the bias to produce the logits. Then, a softmax function is applied to the logits to obtain the class probabilities. Single-layer perceptron for multinomial classification