May 2020
Intermediate to advanced
576 pages
26h 55m
French
Content preview from Deep Learning avec Keras et TensorFlow
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494
Annexe A Solutions des exercices
être libérée et il faudra donc seulement 6+3 =9millions d’octets
(9Mo) de RAM (lorsque la deuxième couche vient d’être calculée,
mais que la mémoire occupée par la première couche n’a pas encore
été libérée). Nous devons également ajouter la mémoire occupée par
les paramètres du CNN. Nous sommes arrivés à 903
400 paramètres,
chacun occupant 4 octets, ce qui fait 3
613 600 octets (environ
3,6Mo) supplémentaires. La quantité de RAM totale nécessaire est
(au moins) de 12
613 600 octets (environ 12,6Mo).
Terminons en calculant la quantité de RAM minimale nécessaire
à l’entraînement du CNN sur un mini-lot ...
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