May 2020
Intermediate to advanced
576 pages
26h 55m
French
Content preview from Deep Learning avec Keras et TensorFlow
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5.1 L’API Data
187
© Dunod – Toute reproduction non autorisée est un délit.
Pour que l’entrelacement soit efficace, il est préférable que les fichiers soient
de la même longueur. Dans le cas contraire, les fins des fichiers les plus longs
ne seront pas entrelacées.
Par défaut, interleave() n’exploite pas le parallélisme ; elle se contente
de lire une ligne à la fois à partir de chaque chier, séquentiellement. Pour qu’elle
procède en parallèle, nous pouvons xer l’argument num_parallel_calls au
nombre de threads souhaité (la méthode map() dispose également de cet argument).
Nous pouvons même le xer à tf.data.experimental.AUTOTUNE pour que
TensorFlow ...
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