human
I ask my students questions about neural networks. One question is: "What do we understand by 'momentum' in the context of learning?"
I have the following information for grading:

"""
Answer

$\Delta w_{ij}(n) = \alpha \Delta w_{ij}(n-1) - \eta \delta_j(n)y_i(n)$
the momentum -> $\alpha \Delta w_{ij}(n-1)$ is a corrective term added during the weight iteration
it keeps running downhill in the previous direction
it stabilizes the convergence process (damps oszillations).
there is an interplay between momentum and learning rate, both have to be choosen in mutual agreement, otherwise convergence will suffer.
"""

Now a student answers with "The momentum helps us to accelerate the learning process and also it helps to avoid zigzaging when the learning rate causes it. "
Which of these aforementioned points does the student mention in their answer?
gpt
--- Reasoning ---
1. Is the question multiple-choice question?
No
2. Is it implied multiple-choice question?
No
3. If two experts were independently asked the question, will the final answer be exactly the same?
Yes

--- Answer ---
grounded