Not like Steepest Gradient,
where is Fisher Information Matrix
Natural gradient doesn't simply follow the steepest gradient, but rather finds the optimal direction by considering the probabilistic structure of the model since the Fisher Information Matrix reflects the curvature of probability distribution
Computing the inverse of the Fisher Information Matrix is computationally challenging due to its large size. Therefore, various approximation methods are used to estimate the inverse matrix.
Natural Gradient Approximations