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 ...

Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem, it has the potential ...

As it currently stands, the vast majority of the AI advancements and applications you hear about refer to a category of algorithms known as machine learning (see "What is machine learning?").

Backpropagation has led to impressive gains in AI and machine learning. But it has limitations researchers are attempting to move beyond.

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 ...