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Computing & AI Class 10

How AI Learns II: Neural Networks Intuition

Hold a rule as two weights, test it, and nudge it when it is wrong.

11 lessons · ~80 min total

Track progress — 0 of 11 lessons read 0%

Lessons in this topic

  1. 0 Start here A roadmap: a rule held as two weights and a line, one wrong day, a nudge, and what the rule can and cannot reach. · 4 min You are here
  2. 1 Holding a rule instead Two guessers answer the same day at the water tank — one keeps every example, one keeps two weights and a threshold. · 8 min
  3. 2 The weighted sum Each input is multiplied by its own weight, and the two products add into one running sum. · 8 min
  4. 3 The line it crosses The sum is checked against one threshold — at it or past it says call, and this reads on a board of days as a straight edge. · 8 min
  5. 4 Measuring one wrong The kept-back walk finds the rule missing 2 of 4 days, and names the one to learn from. · 8 min
  6. 5 Nudging the weights One hand-worked learning step: each weight moves by the nudge times its own input, and the line moves with it. · 8 min
  7. 6 Counting what moved Two nudges take the kept-back misses from 2 of 4 to 0 of 4, but the first nudge made the whole log worse. · 8 min
  8. 7 Write the sum yourself Two short functions: the weighted sum, and the at-or-past comparison — with a hidden day on the exact boundary. · 8 min
  9. 8 What the word neural buys People call this one unit a neuron, and many joined a neural network — a borrowed word, checked honestly. · 8 min
  10. 9 The big picture Eight ideas, one table: two weights, a line, one miss, a nudge, and the one day no such rule can ever get right. · 4 min
  11. 10 Track quiz Cheat-sheet table plus a reveal quiz — one question per idea, and extra on the counts and the nudges. · 8 min