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What is the simple meaning of a weight in a neural network?

Answer and explanation

Correct answer: A value that controls the influence of an input

A weight is a numerical value that determines how strongly an input contributes to a neuron's calculation. During training, the network adjusts these values to improve its outputs. A weight does not count inputs, specify an image colour, or name a training file.

Related tags

Neural NetworksWeightsMachine LearningTrainingArtificial Intelligence

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