First prototype of building “Gradient Descent” using OpenSCAD and Prussa. What is gradient descent you may ask. It’s used with machine learning during the training process of a data set. Basically, it looks for best answers by finding the lowest spots. It does this by guessing and moving downward. However, the model often has many peaks and valleys and if it starts at the wrong place, it may miss the optimium solution.

Gradient Descent model on 3D printer bed



