Machine Learning, Data Science, Mathematics, Artificial Intelligence, Deep Learning.
∂f∂x(a,b)∂f∂x(a,b) is the slope of the tangent line to this curve at the point where x=ax=a. To run gradient descent on this error function, we first need to compute its gradient. The gradient will act like a compass and always point us downhill. To compute it, we will need to differentiate our