Machine Learning, Single Layer Perceptron, Neural Networks, Matlab.
Train the single-layer perceptron using gradient descent: for epoch = 1:num_epochs % Forward pass Z = X * W + b; S = softmax(Z); % Compute the loss loss = cross_entropy_loss(Y, S); if mod(epoch, 500) == 0 fprintf('Epoch %d, Loss: %.4f\n', epoch, full(loss)); end % Compute the gradients dL_dZ = S -