May 2020
Intermediate to advanced
576 pages
26h 55m
French
Content preview from Deep Learning avec Keras et TensorFlow
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2.4 Exercices
97
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techniques d’entraînement de réseaux très profonds. Nous verrons également com-
ment personnaliser les modèles avec l’API de bas niveau de TensorFlow et comment
charger et prétraiter efcacement des données avec l’API Data. Nous détaillerons
d’autres architectures de réseaux de neurones répandues
: réseaux de neurones
convulsifs pour le traitement des images, réseaux de neurones récurrents pour les
données séquentielles, autoencodeurs pour l’apprentissage des représentations et
réseaux anta gonistes génératifs pour la modélisation et la génération de données
64
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2.4 EXERCICES ...
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