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Artificial neural networks (ANN), are composed of 'neurons' - programming constructs that mimic the properties of biological neurons. A set of weighted connections between the neurons allows information to propagate through the network to solve artificial intelligence problems without the network designer having had a model of a real system.

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What exactly is Gradient norm?

The concept of norm comes from functional analysis (and is found both in linear algebra and in optimization methods and other fields). There are several types of norm. The one in question is the norm …
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