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