23. Accelerating Gradient Descent (Use Momentum)

53:34
24. Linear Programming and Two-Person Games

15:52
Optimization for Deep Learning (Momentum, RMSprop, AdaGrad, Adam)

53:03
25. Stochastic Gradient Descent

8:54
Germany’s Far-Right Comeback | NYT Opinion

1:15:47
Accelerating Stochastic Gradient Descent

52:44
22. Gradient Descent: Downhill to a Minimum

49:51
9. Four Ways to Solve Least Squares Problems

27:49