Question: In a concise analytical response, explain why adding internet images is theoretically safe under the source's stated conditions, even when the internet dataset is much larger.

Sample answer: A sufficiently large neural network has enough capacity to try to perform well on both internet and mobile-app images. If it is also trained long enough on the full combined set, the large imbalance between the sources does not create theoretical harm merely because both objectives are pursued. Under these conditions, adding the internet images is more likely to improve performance.

Key points:

• The network must have enough hidden units or layers.
• The network must be trained long enough on both sources.
• The model can try to perform well on internet and mobile-app images simultaneously.
• A large source-size imbalance does not invalidate the theoretical claim.
• Adding the images is more likely to increase performance.

Rubric: A strong response identifies both required conditions—sufficient network capacity and sufficient training time—connects them to learning from both sources, and explains that the source predicts no theoretical harm and a likely performance increase.