Question: In a concise analytical response, distinguish the source's definition of a small neural network from its possible performance on the same supervised learning task.

Sample answer: The source defines a small neural network structurally: it has only a small number of hidden units, layers, or parameters. It separately states that training such a network on the same supervised learning task might produce slightly better performance. Therefore, performance is a possible outcome of using the network, not the criterion that makes the network small.

Key points:

• Smallness refers to hidden units, layers, or parameters.
• Slightly better performance is presented as a possibility.
• Performance does not determine whether the network is small.
• The comparison concerns the same supervised learning task.

Rubric: A strong response clearly states the structural definition, distinguishes it from the possible performance result, and avoids claiming that slightly better performance is guaranteed.