Question: Explain why simply having a very large neural network is not sufficient for achieving the 'best performance'. What is the other necessary component and how do they interact?

Sample answer: While training a very large neural network provides the capacity to learn highly complex functions, it requires a huge amount of data to achieve the best performance. Without huge data, the large network cannot reach its full potential. The two factors work together: the huge data provides the extensive examples necessary for the large network to learn effectively, allowing the combined system to reach the highest performance levels.

Key points:

• A very large neural network is required.
• A huge amount of data is the second necessary component.
• Both are required simultaneously for the 'best performance'.

Rubric: The response must explicitly mention the need for a 'huge amount of data' alongside a large neural network. It should explain that the two components must be combined to achieve the best performance.