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The output network typically consists of the final layer of neurons in a neural network that generates predictions or classifications based on the input data. The number of neurons in this layer depends on the type of task (e.g., regression, classification) being performed. The output network's activation function is usually chosen based on the specific problem being solved.

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Q: What does the output network consist of?
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