Understanding AI from Scratch – Neuaral Networks Without Libraries Course
Learn the fundamentals of Neural Networks by building one from scratch without libraries. You'll manually tweak network parameters to teach a car how to drive within a specially crafted playground. Dr. Radu teaches computer science at a university in Finland, and has over a decade of experience with machine learning and AI, and he emphasizes the importance of revisiting basics in an era of easy-to-use complex models.
You will have homework assignments which you can discuss with Dr. Radu on his Discord: discord.gg/gJFcF5XVn9
✏️ Course developed by @Radu
? Win prizes by following along: https://youtu.be/EhJ7qD5HwpY
? THE PLAYGROUND: https://radufromfinland.com/projects/aiCarPlayground/?s=default
? HELP COLLECT DATA BY RACING: https://radufromfinland.com/projects/aiRacer
⭐ OTHER LINKS ⭐
Phase 1 – Self-Driving Car with JavaScript: https://youtu.be/Rs_rAxEsAvI
Phase 2 – Virtual World Filled with Self-Driving Cars: https://youtu.be/5iHejdqYIa8
Vanilla JavaScript Chart Tutorial: https://youtu.be/n8uCt1TSGKE
Machine Learning JavaScript Course: https://youtu.be/vDDjtwQDw2k
3b1b's Neural Network Video: https://youtu.be/aircAruvnKk?si=JB6fvUT3Ko1mkU3x
Another Playground: https://playground.tensorflow.org
Desmos 3D: https://www.desmos.com/3d
Another Playground: https://playground.tensorflow.org
Top-view Cars Clip: https://youtu.be/jZrjE_ixu18
? CODE ?
1. Phase 1 https://github.com/gniziemazity/self-driving-car
2. Phase 2 https://github.com/gniziemazity/virtual-world
3. Phase 3 https://github.com/gniziemazity/understanding_ai
? Use "11. MiniMap" from Phase 2 at 02:36:49
? Use "1. Starting Codebase" from Phase 3 in Lesson 6 (if you didn't code anything yet)
☕ Buy Radu a Coffee: https://www.buymeacoffee.com/radum
⚡️Join Radu's Channel: https://youtube.com/@Radu/join
❤️ Try interactive JavaScript courses we love, right in your browser: https://scrimba.com/freeCodeCamp-JavaScript (Made possible by a grant from our friends at Scrimba)
⭐ Contents ⭐
⌨️ (0:00:00) Introduction
⌨️ (0:07:12) The Playground
⌨️ (0:14:34) One Neuron
⌨️ (0:29:07) Clarrifications
⌨️ (0:31:58) Lesson 2
⌨️ (0:32:16) Genetic Algorithm
⌨️ (0:43:04) 2 Inputs
⌨️ (1:02:42) Hidden Layers
⌨️ (1:13:03) Misconceptions
⌨️ (1:14:18) Lesson 3 (More Outputs)
⌨️ (1:55:59) Lesson 4 (Traffic Rules)
⌨️ (2:24:10) Lesson 5 (Compass Sensor)
⌨️ (2:35:20) The need for Shortest Path
⌨️ (2:37:10) Updating the Self-driving Car codebase
⌨️ (2:57:39) Lesson 6 (Dijkstra's Algorithm)
⌨️ (3:24:03) Lesson 7 (Dijkstra with AI Agents)
⌨️ (3:43:13) Final Challenge