The answer
A zero gradient means no first-order change is indicated for that parameter at the current point. It does not necessarily identify a useful global optimum.
How do gradients help update a neural network’s parameters?
What does a zero gradient mean?
More FAQs in How do gradients help update a neural network’s parameters?
Gradient clipping limits excessively large updates by constraining gradient magnitude. It can stabilize training, but it does not replace good data, architecture, or optimizer settings.
No. Basic gradient descent uses a direct scaled gradient, while methods such as Adam incorporate running statistics that change how parameter updates are calculated.
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