Gradient as a Guide: A Simple Game

The Backpropagation algorithm is the powerhouse of all Deep Learning models. It is one of the methods of efficiently calculating Gradient for billions of parameters. Therefore, it is vital to understand how the Gradient information guides the function's parameters to traverse the loss-landscape and eventually halt in a valley. I thought of building a simple game centred around the concepts to ensure whether a learner has understood them or not. Here it is for you to explore. The video below is my attempt to reach the minimum of the function.