Self-Driving Car with JavaScript Course : Neural Networks and Machine Learning

Course Overview

This Self-Driving Car with JavaScript Course: Neural Networks and Machine Learning, created by Dr. Radu Mariescu-Istodor, provides an in-depth look at how to create a neural network using JavaScript with no libraries. Students will learn to make a self-driving car simulation by implementing every component step-by-step. Topics covered include car driving mechanics, defining the environment, simulating sensors, detecting collisions, and making the car control itself using a neural network. The course also covers how artificial neural networks work, by comparing them with the real neural networks in our brain. Students will learn how to implement a neural network and how to visualize it so they can see it in action. The course consists of the following topics: Intro, Car driving mechanics, Defining the road, Artificial sensors, Collision detection, Simulating traffic, Neural network, Parallelization, Genetic algorithm, and Ending. Links to Radu's website, Radu's workplace, Segment intersection, Visualizing a neural network in JavaScript, Visualizer code, and Drawing random color cars in JavaScript are also provided. Thanks to the Champion and Sponsor supporters Raymond Odero, Agustín Kussrow, aldo ferretti, Otis Morgan, and DeezMaster, students can learn to code for free and get a developer job at FreeCodeCamp.org and read hundreds of articles on programming.