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Why Shallow Networks Failed

  1. 01Why Shallow Networks Failed
  2. 02Memory card
  3. 03What "deep" actually means
  4. 04The vanishing gradient
  5. 05A small step inside each neuron
  6. 06Why bother bending the number?
  7. 07The bend they chose
  8. 08How the flat ends starve the signal
  9. 09The absurdly simple fix
  10. 10Take a breath
  11. 11Other fixes
  12. 12Depth vs. width
  13. 13Memory card
  14. 14The research gap
  15. 15Reinforce your understanding
  16. 16Question: The vanishing gradient
  17. 17Question: Why does a simple fix work?
  18. 18Question: Why does depth matter?
  19. 19Quiz: answer
  20. 20The one idea to keep
  21. 21The gradient problem was solved. What was still missing was scale.
  22. 22Want to go deeper?
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Memory card

From the previous chapter. The problem this chapter is built around follows directly from how backpropagation works. Try to answer it before you reveal.

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Citations