Concept information
Preferred term
Adam optimizer
Definition
- A variant of the stochastic gradient descent algorithm often used as the default algorithm in deep learning to improve the performance of deep neural network.
Broader concept
In other languages
-
French
URI
http://data.loterre.fr/ark:/67375/8LP-LZRB5NR4-F
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