Machine Learning, Single Layer Perceptron, Neural Networks, Matlab.
randn(n_features, n_classes); b = randn(1, n_classes); 3. Set the training options: learning_rate = 0.01; num_epochs = 5000; 4. Define the softmax and cross-entropy functions: softmax = @(z) exp(z) ./ sum(exp(z), 2); cross_entropy_loss = @(y_true, y_pred) -mean(sum(y_true .* log(y_pred), 2)); 5.