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Video course · 15 chapters · 224 min · certificate

Understanding AI from Scratch – Neural Networks Course

Learn neural networks hands-on with Dr Radu's self-driving car playground: one neuron, a genetic algorithm, two inputs, hidden layers, more outputs, traffic rules, a compass sensor, shortest paths, Dijkstra's algorithm and AI agents, and a final challenge.

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What you'll learn

  • Explain how a single neuron works
  • Tune networks with a genetic algorithm
  • Add inputs, hidden layers and outputs
  • Teach a car traffic rules
  • Implement Dijkstra's shortest path
  • Combine pathfinding with AI agents

Chapters

15 chapters · 224:17
  1. 7:12 01Intro Members Introduction Dr Radu.
  2. 7:22 02Playground Members The playground Manual tuning.
  3. 14:33 03Neuron Members One neuron Weight and bias.
  4. 3:09 04Notes Members Clarifications Optional details.
  5. 10:48 05Evolution Members Genetic algorithm Optimise automatically.
  6. 19:38 06Inputs Members Two inputs More sensors.
  7. 11:36 07Hidden Members Hidden layers and misconceptions Deeper networks.
  8. 41:41 08Outputs Members More outputs Forward, back, left, right.
  9. 28:11 09Rules Members Traffic rules Stay right.
  10. 11:10 10Compass Members Compass sensor Go somewhere.
  11. 1:50 11Pathing Members The need for shortest path SP mode.
  12. 20:29 12Code Members Updating the codebase Phase two.
  13. 26:24 13Dijkstra Members Dijkstra's algorithm Shortest paths.
  14. 19:10 14Agents Members Dijkstra with AI agents Follow targets.
  15. 1:04 15Challenge Members Final challenge Your turn.