Level 3 · Refined Intelligence

The Architect

Apply graph theory to build sophisticated two-layer neural networks inspired by human brain structure.

  • Module 05
  • 7 sub-modules
  • ~394 min
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Key learning

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

  • The Limits of Pattern Analysis
  • The Core Concept – Weight Adjustment
  • Mapping the Data
  • The Goal – Targeted Output
  • Why 2 Layer Neural Network?
  • Simple and Basic Math Blueprint of Neural
  • How a Neural Network Learns
  • Calculating the Error
  • The "Fair Share" (Proportionality)
  • Calculating the Adjustment (Backpropagation)
  • The Update. New Weights!
  • The Network Architecture
  • The Objective & Generalization
  • Visualizing "Weight Signatures"
  • Getting Deeper into Weights?
  • The Limits of Basic Arithmetic

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