class Optimizers:
    @staticmethod
    def gradient_descent(params, grads, alpha):
        """
        Performs gradient descent optimization for a multi-layer network.
        
        :param params: Dictionary containing the network parameters (W1, b1, W2, b2, etc.)
        :param grads: Dictionary containing the gradients (dW1, db1, dW2, db2, etc.)
        :param alpha: Learning rate
        :return: Updated parameters dictionary
        """
        for key in params:
            params[key] -= alpha * grads['d' + key]
        return params