[deytempo]

The one thing I do not like about neural networks is that they completely abstract the programmer from the problem they are solving. After the neural network is extensively trained, it’s very difficult for even the creator to look at the resulting data structure and make sense of how the problem is actually being solved. I think this is one major reason why neural networks successes have been so confined to specific problems; it’s nearly impossible to predictably modify and improve on a duly functioning and trained multi hidden layer network without starting from scratch and completely retraining it.