Questions tagged [momentum]

For questions about the concept of momentum in the context of gradient descent.

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At which point, does the momentum based GD helps really in this figure?

Classical gradient descent algorithms sometimes overshoot and escape minima as they depend on the gradient only. You can see such a problem during the update from point 6. In classical GD algorithm, ...
9 votes
1 answer

What is the formula for the momentum and Adam optimisers?

In the gradient descent algorithm, the formula to update the weight $w$, which has $g$ as the partial gradient of the loss function with respect to it, is: $$w\ -= r \times g$$ where $r$ is the ...
0 votes
0 answers

Limit of momentum update equation

I am self-studying on optimization algorithm on and couldn't get my head around some derivation: Instead of the standard gradient descent update ...
3 votes
3 answers

Why must the momentum factor be in the range 0-1?

Why is it a bad idea to have a momentum factor greater than 1? What are the mathematical motivations/reasons?
3 votes
1 answer

How are these equations of SGD with momentum equivalent?

I know this question may be so silly, but I can not prove it. In Stanford slide (page 17), they define the formula of SGD with momentum like this: $$ v_{t}=\rho v_{t-1}+\nabla f(x_{t-1}) \\ x_{t}=x_{...
1 vote
0 answers

Why do momentum techniques not work well for RNNs?

AFAIK, momentum is quite useful when training CNNs, and can speed-up the training substantially without any drop in validation accuracy. I've recently learned that it is not as helpful for RNNs, where ...