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Video course · 6 chapters · 44 min · certificate

Train Your Brain Like AI: Learn Faster with Feedback Loops

Tom Watchman compares the brain with AI neural networks to show how to learn faster: brain vs AI strengths, training vs inference, how models learn through feedback, a step-by-step method to train your own brain with data, tasks and spaced feedback loops, and how to overcome limits of speed, energy and motivation.

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What you'll learn

  • Compare biological and artificial neural networks
  • Explain training versus inference
  • Describe how AI models learn from feedback
  • Apply data, tasks and feedback loops to your own learning
  • Use spaced repetition
  • Manage energy, inputs and motivation while learning

Chapters

6 chapters · 44:04
  1. 1:40 01Intro Members Introduction Learn like a model.
  2. 8:20 02Comparison Members Neural networks: brain vs AI Strengths and weaknesses.
  3. 9:50 03Learning phases Members Training vs inference Practice vs performance.
  4. 4:18 04AI training Members How AI models are trained Data and feedback.
  5. 5:34 05Method Members How to train your brain like AI Data, tasks, feedback.
  6. 14:22 06Limits Members Overcoming limitations Struggle, energy, motivation.