Machine Learning, Deep Learning, Computer Science.
find the best values of a and b. We do this by introducing yet another function called the loss function, and running gradient descent to minimize the loss function. Let’s use F(x) as “the function being trained”, where x is still the length of one side of the pasture, y is the true (observed) area