Machine Learning, Deep Learning, Computer Science.
); if F(xi) > yi L’a(a, b) = (1 / m) * SUM( -1 * xi² ); if F(xi) < yi L’b(a, b) = (1 / m) * SUM( 1 * x ); if F(xi) > y L’b(a, b) = (1 / m) * SUM( -1 * x ); if F(xi) < yi These derivatives actually give us a pretty simple update rule: if our predictions are too small then make a and b both bigger.