Loading slide

The Neuron Idea

  1. 01The Neuron Idea
  2. 02A familiar idea
  3. 03Same era, different bet
  4. 04A neuron, at its simplest
  5. 05Adding things up
  6. 06The first artificial neuron
  7. 07Strength, not just presence
  8. 08The signal itself has a strength
  9. 09Multiply, then add
  10. 10Just a recipe
  11. 11What a weight really is
  12. 12Where the numbers come from
  13. 13Back to the real thing
  14. 14The Perceptron
  15. 15How it learned
  16. 16What training actually is
  17. 17Why this was different
  18. 18What Rosenblatt claimed
  19. 19The shape of hype
  20. 20Twelve years of real work
  21. 21The verdict
  22. 22What the proof didn't say
  23. 23What it could do
  24. 24What it could not do
  25. 25The reason
  26. 26The limit was real
  27. 27Before we go further
  28. 28Memory card
  29. 29What if we added another?
  30. 30Many dumb things
  31. 31Layers
  32. 32More Layers
  33. 33The whole thing
  34. 34A network of neurons
  35. 35A small group kept going
  36. 36Reinforce your understanding
  37. 37Question: What is learning?
  38. 38Question: The limit
  39. 39Question: Training a network
  40. 40Quiz: answer
  41. 41The idea didn't die. It waited.
  42. 42Want to go deeper?
22 / 41
BackNext

What the proof didn't say

So what did the proof actually cover? Look closely, because the gap matters.

Minsky and Papert proved that this design had a ceiling. One layer of dials, one pass, no more. That was the thing they showed could not be fixed.

What they did not prove was anything about a different design. A machine with more layers, built another way, might sail right past the limit. Nobody had tried yet. That door was wide open.

There's a name for assuming it was shut: hasty generalization. Jumping from "this version failed" to "none of them ever will." It happens in science, in business, in medicine. It happened here.

A small group of researchers read the proof carefully and noticed the gap. The book killed one design. It didn't kill the idea. They kept working with little funding through the 1970s and into the 1980s, on designs nobody had tried yet.

But before we get there: what exactly was the limit? What could the Perceptron actually do, and why couldn't it do more?

Citations(2)↓
  1. 1. mitpress.mit.edu
  2. 2. archive.org