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Neural Network Lab It's more complex than back propagation, but Rprop has advantages in training speed and efficiency. 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 propagation: First, training with Rprop is often faster than training with back propagation.
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