Weight update factors for output units:

• Error term:
  • miss: (target - output)
  • gradient: o(1 - o)
• input: x
• learning rate: n

Weight update factors for hidden units:

• Error term:
  • miss: weighted sum of next layer's error terms
  • gradient: o(1 - o)
• input: x
• learning rate: n