classification and multilayer perceptron neural networks
twork to compute gradients. Parameter Update: Adjust weights using gradient information to reduce the loss. This iterative process continues until convergence or a stopping criterion is met. Application of Multilayer Perceptrons in Classification Advantages of MLPs in Class
