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What is the main role of the output layer in a neural network?

Answer and explanation

Correct answer: To produce the final prediction or result

The output layer is the final layer of a neural network. It uses information processed by earlier layers to produce the final prediction or result. For example, in a classification task, it may produce class probabilities or a predicted class. Extracting intermediate features is generally the role of hidden layers, so option C is not correct.

Related tags

Neural NetworksOutput LayerDeep LearningClassificationArtificial Intelligence

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