Dive into the world of self-driving car simulation and neural networks with this comprehensive JavaScript course. Learn to implement car driving mechanics, define the environment, simulate sensors, detect collisions, and create a self-driving system using neural networks - all without relying on external libraries. Explore the fascinating parallels between artificial neural networks and biological brain networks while gaining hands-on experience in implementing and visualizing a neural network. Follow along step-by-step as you build every component of the simulation, from basic car mechanics to advanced genetic algorithms for optimization. By the end of this 2-3 hour tutorial, you'll have a deep understanding of neural networks, machine learning principles, and their practical application in autonomous vehicle technology.
Overview
Syllabus
) Intro.
) Car driving mechanics.
) Defining the road.
) Artificial sensors.
) Collision detection.
) Simulating traffic.
) Neural network.
) Parallelization.
) Genetic algorithm.
) Ending.
Taught by
freeCodeCamp.org
