Machine Learning, Gradient Descent, Optimization, Deep Learning, Artificial Intelligence.
Booth Function Function Properties Domain : -10 < x,y < 10 Minima : 0 at x = 1, y =3 Initial value : 116.16 at (7.85, 0.04) Contour Lines Performance of Gradient Descent Variations Adam : 0 at [ 1, 3] SGD : 0 at [ 1, 3] RMSProp : 0 at [ 1, 3] AdaDelta : 80.16 at [7.23,-0.54] AdaGrad : 11.84 at