Simulators
Gradient descent simulator
The points and the current line are on the left, and the loss after each step on the right. Each step moves the line's slope and intercept a little downhill on the loss.
The simulator
Gradient descent simulator: how to use it
Change the learning rate and run it again: a rate too small crawls towards the best line, and one too large makes the loss explode.
Lessons that use it
- Gradient descent (Machine Learning)Train a model by walking downhill on its loss: the gradient, the update rule, the learning rate, and batch, stochastic and mini-batch gradient descent.
See also
- CPU scheduling simulator
- Page replacement simulator
- Banker's algorithm simulator
- Disk scheduling simulator
- Race condition simulator
- Truth table maker
- K-means clustering simulator
- Subnet calculator
- Sliding window simulator
- TCP congestion control simulator
- Karnaugh map solver
- Flip-flop simulator
- Ripple-carry adder
- Cache simulator
- 5-stage pipeline simulator