I have a .net neural network (in/linear/bias 209, tanh/bias 209, tanh/bias 547, out/tanh 64). I have recreated the network several times, but the error rate doesn't change through the iterations. When I later save the network, the weights on the EG file isn't changed (only the file header). Tried back, resilient and Manhattan trainer. Uncertain where to start debugging, or is there some known issues when designing NN i'm missing?