Concept information
Término preferido
layer normalization
Definición
- A deep learning technique used to normalize the activations of neurons within each layer of a neural network independently in order to stabilize the training process and improve the performance of the neural network. (Based on Mudadla, Layer Normalization, on medium.com, 2023)
Concepto genérico
En otras lenguas
-
francés
URI
http://data.loterre.fr/ark:/67375/8LP-QS6282WL-1
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