Скачать с ютуб Understanding AI from Scratch – Neural Networks Course в хорошем качестве

Understanding AI from Scratch – Neural Networks Course

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:    • ⭐🏆⭐PRIZES: Racing AI Competition⭐🏆⭐ D...   🚗 THE PLAYGROUND: https://radufromfinland.com/projects/... 🚙 HELP COLLECT DATA BY RACING: https://radufromfinland.com/projects/... ⭐ OTHER LINKS ⭐ Phase 1 – Self-Driving Car with JavaScript:    • Self-Driving Car with JavaScript Cour...   Phase 2 – Virtual World Filled with Self-Driving Cars:    • Build a Virtual World Filled with Sel...   Vanilla JavaScript Chart Tutorial:    • Build a Chart using JavaScript (No Li...   Machine Learning JavaScript Course:    • No Black Box Machine Learning Course ...   3b1b's Neural Network Video:    • But what is a neural network? | Chapt...   Another Playground: https://playground.tensorflow.org Desmos 3D: https://www.desmos.com/3d Another Playground: https://playground.tensorflow.org Top-view Cars Clip:    • BEST TOP VIEW ROAD TRAFFIC CAR VIDEO ...   💻 CODE 💻 1. Phase 1 https://github.com/gniziemazity/self-... 2. Phase 2 https://github.com/gniziemazity/virtu... 3. Phase 3 https://github.com/gniziemazity/under... 💻 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:    / @radu   ⭐ 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