use turbo mode
This is a simple machine learning example that doesn't really involve learning but more something like tweaking settings. The objective is to get as close to the target (0;0) as possible. How this works: 1. 100 random dots are generated 2. For each of the dots, the distance to the target is calculated. This is the so called "fitness" of the dot. 3. The fitness of the best dot is set to 0% and the worst dot is set to 100%. This percentage is the chance for a dot to get eridicated. 4. The remaining dots make slightly different copies of themselves, some worse and some better, until the total amount of dots is back to 100 again. 5. Step 2-5 will be repeated for a certain amount of times (generations) At the end, you will see three graphs: The red one is the worst dot of each generation, the blue one the average and the green one the best.
