Machine Learning, Single Layer Perceptron, Neural Networks, Matlab.
architectures Mathematical formulation Let’s denote the input features matrix as X (shape: nxd), weights matrix as W (shape: d x c), and bias matrix as b (shape: 1 x c), where n is the number of samples, d is the number of features, and c is the number of classes. The logits are given by Z=X*W+b,