First of all, it is nice to post here after such a long time of absence.
How should propagate error in feedforawrd network with backpropagation learning.
Should i backpropagate after each input vector data.
or maybe
Calculate all errors from my input vectors and than do something with this errors and backpropagate once for an epoch??
How should propagate error in feedforawrd network with backpropagation learning.
Should i backpropagate after each input vector data.
or maybe
Calculate all errors from my input vectors and than do something with this errors and backpropagate once for an epoch??
I rewrote Thomas Bleeker's NNet demo for OA32 some time ago.
You should check out his work first.
You should check out his work first.