CLASSIFICATION AND PREDICTION - Universität Wien

Peter Brezany Institut für Softwarewissenschaft, WS 2002 14
S
Example Calculations for Backpropagation Learning
The figure below shows a NN. Let the learning rate be 0.9. The initial weight and bias
values of the network are given in the table on the next slide, along with the first training
sample, X = (1, 0, 1) whose class label is 1.
Slide 27
w 34
35
x 1 1
w 14
x 3 3
w
w 15
5
4
w 24
x 2
2
w 25
w 46
w 36
6
An
example of a multilayer feed-forward neural network.