Machine Learning, Fourier Transform, Gradient Descent, Data Science, Artificial Intelligence.
changes in its volume. The Gradient Descent example has a cost function derivative that can be represented as the product of the Jacobian matrix and the function in parametric form. My algorithm improved from an error rate of 2.x% to 1.x%. More Explanation Jacobian Matrix is expressed as: Jacobian