May 2020
Intermediate to advanced
576 pages
26h 55m
French
Content preview from Deep Learning avec Keras et TensorFlow
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244
Chapitre 6. Vision par ordinateur et réseaux de neurones convolutifs
Dense
Dense
Pooling moyen glob al
Sigmoïde
ReLU
Figure 6.22 – Architecture d’un bloc SE
La couche de pooling moyen global calcule l’activation moyenne pour chaque
carte de caractéristiques. Par exemple, si son entrée contient 256 cartes de carac-
téristiques, elle produit en sortie 256 valeurs qui représentent le niveau global de
réponse à chaque ltre. C’est dans la couche suivante que se fait la «
compression » :
le nombre de neurones de cette couche est bien inférieur à 256 – en général seize fois
moins que le nombre de cartes de caractéristiques (par exemple, seize neurones) ...
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