3D Gradient Descent Explorer

ML-II Book — Ch03: Logistic Regression Deep Dive | Dr Milan Amrut Joshi

3D Surface — drag to rotate, scroll to zoom
Contour Map — click to set start
0.050
-3.0
3.0
5
Step: 0   Algorithm: Batch GD
Position: (−3.0, 3.0)
Loss:   |∇|:
Status: Ready
Start Path Current
Batch GD: exact gradient   SGD: noisy (1 sample)   Mini-batch: moderate noise
Quadratic Bowl: f(x,y) = x²+y². Convex, single minimum at (0,0).
Dr Milan Amrut Joshi — ML-II: Supervised Learning Classification — Great Learning