AI learning to DRIVE!!

Welcome to the Universo Programado!
In this video you will see how an artificial intelligence learned to drive!
An Artificial Neural Network was used (Perceptron Multilayer) with 3 layers!
✅ - 18 Sensor Input Layer + 1 Bias, totaling 19 Neurons
✅ - 6 Sensor Input Layer + 1 Bias, totaling 7 Neurons
✅ - 4 Sensor Input Layer (Accelerate, Reverse, Turn Left, Turn Right)
The activation function used in all neurons was ReLU.
The learning method is commonly called the ''Random Mutations".
The population size I used was 1000 individuals.
The learning time ranged from 5 ~ 20 minutes.
The language used throughout the process was Language C.
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Resources used:
➡ Robot voice - ttsdemo.com
➡ Car Sprites - www.freepik.com
🔴 Code on github - github.com/JVi...
A big hug and a great studies to you! ❤️