Level 3 · Refined Intelligence

The Controller

Understand how AI prioritizes information through weights, vectors and matrices in neural network architectures.

  • Module 04
  • 5 sub-modules
  • ~278 min
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Key learning

The subjects this module walks through, in the order the lessons teach them.

  • Weights in Neural Networks
  • Intuition Behind Weights
  • Example: Intuition to Backpropagation
  • Finding 'b'. Standard Algebra vs. AI's Iterative Learning
  • Iterative Learning
  • Why This Matters
  • Weight Adjustment or Learning
  • Sigmoid Function and Weight Adjustment
  • The Problem of Adjusting Multiple Weights

Every module runs the same loop: theory → quiz → guided lab → lab quiz. See all eight modules →