May 2020
Intermediate to advanced
576 pages
26h 55m
French
Content preview from Deep Learning avec Keras et TensorFlow
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Chapitre 7. Traitement des séries avec des RNR et des CNN
Les RNR ne sont pas les seuls types de réseaux de neurones capables de traiter
des données séquentielles. Pour les petites séries, un réseau dense classique peut faire
l’affaire. Pour les séries très longues, comme des échantillons audio ou du texte, les
réseaux de neurones convolutifs fonctionnent plutôt bien. Nous examinerons éga-
lement ces deux approches, et nous terminerons ce chapitre par l’implémentation
d’un WaveNet. Cette architecture de CNN est capable de traiter des séries consti-
tuées de dizaines de milliers d’étapes temporelles. Au chapitre8, nous poursuivrons
notre exploration ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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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.