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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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The connection between optimization and generalization

Optimization algorithms such as gradient descent or particle swarm can find a minima in a function. On the other hand, learning methods such as back-prop define learning as an optimization problem an …
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