May 2020
Intermediate to advanced
576 pages
26h 55m
French
Content preview from Deep Learning avec Keras et TensorFlow
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Modèles personnalisés
et entraînement
avec
TensorFlow
4
Depuis le début de cet ouvrage, nous avons employé uniquement l’API de haut niveau
de TensorFlow, tf.keras. Elle nous a permis d’aller déjà assez loin : nous avons construit
plusieurs architectures de réseaux de neurones, notamment des réseaux de régression
et de classication, des réseaux Wide & Deep et des réseaux auto normalisant, en
exploitant différentes techniques, comme la normalisation par lots, le dropout et les
échéanciers de taux d’apprentissage.
En réalité, 95% des cas d’utilisation que vous rencontrerez n’exigeront rien de
plus que tf.keras (et tf.data
; voir le chapitre5). ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.