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Report . 2023
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ZENODO
Report . 2021
License: CC BY NC ND
Data sources: Datacite
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ZENODO
Report . 2021
License: CC BY NC ND
Data sources: ZENODO
ZENODO
Report . 2023
License: CC BY NC ND
Data sources: Datacite
ZENODO
Report . 2023
License: CC BY NC ND
Data sources: Datacite
https://dx.doi.org/10.5281/zen...
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The convergence of the Stochastic Gradient Descent (SGD) : a self-contained proof

descriptionPublicationkeyboard_double_arrow_right Report , Other literature type 26 Mar 2021 France English Publisher:Zenodo
Authors: Turinici, Gabriel;

doi: 10.5281/zenodo.10112931 , 10.5281/zenodo.4638695 , 10.5281/zenodo.4638694

The convergence of the Stochastic Gradient Descent (SGD) : a self-contained proof

Abstract

We give here a proof of the convergence of the Stochastic Gradient Descent (SGD) in a self-contained manner.

Country
France
Related Organizations
Keywords

000, SGD, 515, Gabriel TURINICI, Neural Network, Adam, Analyse, RMSprop, 004, Stochastic Gradient Descent

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
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