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Version du 15 décembre 2020 à 19:10
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Définition
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Gated Neural Network A gate in a neural network acts as a threshold for helping the network to distinguish when to use normal stacked layers versus an identity connection. An identity connection uses the the output of lower layers as an addition to the output of consecutive layers. In short, it allows for the layers of the network to learn in increments, rather than creating transformations from scratch. The gate in the neural network is used to decide whether the network can use the shortened identity connections, or if it will need to use the stacked layers.
Contributeurs: Amanda Clément, wiki
