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 <u>***momentum -> $\alpha \Delta w_{ij}(n-1)$ is a corrective term added***</u> during the weight iteration
* it <u>***keeps running downhill in the previous direction***</u>
* it <u>***stabilizes the convergence***</u> process (damps oszillations).
* there is an <u>***interplay between momentum and learning rate***</u>, both have to be <u>***choosen in mutual agreement***</u>, 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. "
Given all this information, how would you grade this answer on a scale from 0 to 2? Use words with all capital letters to highlight key points, but make sure that words with all capital letters appear less than 16 times
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