May 2020
Intermediate to advanced
576 pages
26h 55m
French
Content preview from Deep Learning avec Keras et TensorFlow
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208
Chapitre 5. Chargement et prétraitement de données avec TensorFlow
àl’heure de l’écriture de ces lignes, TFX n’est pas encore disponible sous Windows,
mais cela ne saurait tarder). Tout d’abord, pour utiliser un composant TFX comme
TF Transform, il faut l’installer (nous l’avons fait au chapitre1, lors de la création de
l’environnement conda tf2). Nous dénissons ensuite notre fonction de prétraite
-
ment (en Python) une seule fois, en appelant des fonctions de TF Transform pour le
redimensionnement, le découpage, etc. Nous pouvons également utiliser n’importe
quelle opération TensorFlow utile. Voici un exemple de fonction de prétraitement ...
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