May 2020
Intermediate to advanced
576 pages
26h 55m
French
Content preview from Deep Learning avec Keras et TensorFlow
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7.4 Traiter les longues séries
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Dans leur article, les auteurs ont empilé dix couches de convolution avec des taux
de dilatation égaux à 1, 2, 4, 8, …, 256, 512, puis un autre groupe de dix couches
identiques (toujours avec les mêmes taux de dilatation), et encore un autre groupe
identique. Pour justier cette architecture, ils ont souligné qu’une seule pile de dix
couches de convolution avec ces taux de dilatation fonctionnera comme une couche
de convolution super efcace avec un noyau de taille 1 024 (en étant plus rapide et
plus puissante, et en demandant beaucoup moins de paramètres). ...
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