Resilient back propagation (Rprop), an algorithm that can be used to train a neural network, is similar to the more common (regular) back-propagation. But it has two main advantages over back ...
Rprop was developed by researchers in 1993 in an attempt to improve upon the back-propagation algorithm. A good way to get a feel for what Rprop is, and to see where this article is headed, is to take ...
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