Learn Neural Networks through coding

In this video I teach you what neural networks are, how they work and how to implement them using JavaScript. We will experiment by using the self-driving car and having it make its own decisions. Neural networks are computing systems inspired by the biological neural networks in our brains. A neuron is a specialized cell that communicates with other cells via synapses. Branch-like structures (the dendrites) receive the signals. When stimulated enough, a neuron will fire a signal through its axon. So, a single neuron does something very simple and intelligence only comes when you have many of them working in a team. Artificial neural networks work so that neurons on the first layer will be connected to the sensors. They will send signals forward a few times times... finally, the last layer will be connected to the car controls to make it actually do something. ⭐️MORE LINKS⭐️ 3b1b video: https://youtu.be/aircAruvnKk Plane intersection visualizer: http://www.songho.ca/math/plane/plane.html ⭐️CODE⭐️ Github: https://github.com/gniziemazity/Self-driving-car (6. Neural network) Use '5. Traffic simulation if you plan to follow along! My website: https://radufromfinland.com JS NN Libraries: https://blog.logrocket.com/best-javascript-machine-learning-libraries-in-2021 ⭐️ TABLE OF CONTENT ️⭐️ 0:00 Intro 0:58 What are neural networks 4:11 Implementing a neural network in JavaScript 8:35 Feedforward algorithm 10:32 Mathematics of neural networks 13:30 Hidden layers 16:09 Connecting the network to the self-driving car 22:12 Debugging a neural network