Small screen detected. You are viewing the mobile version of SlideWiki. If you wish to edit slides you will need to use a larger device.
A main motivation behind neural networks is the fact that symbolic rules do not reflect reasoning processes performed by humans.
Biological neural systems can capture highly parallel computations based on representations that are distributed over many neurons.
They learn and generalize from training data; no need for programming it all...
They are very noise tolerant – better resistance than symbolic systems.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License