May 2020
Intermediate to advanced
576 pages
26h 55m
French
Content preview from Deep Learning avec Keras et TensorFlow
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290
Chapitre 7. Traitement des séries avec des RNR et des CNN
d’étapes temporelles – même les LSTM et les GRU ne sont pas capables de traiter de
si longues séries.
Au chapitre8, nous allons continuer à explorer les RNR et nous verrons comment
ils permettent d’aborder différentes tâches de TALN.
7.5 EXERCICES
1. Donnez quelques applications d’un RNR série-vers-série. Que
pouvez-vous proposer pour un RNR série-vers-vecteur ? Et pour un
RNR vecteur-vers-série ?
2.
Combien de dimensions doivent avoir les entrées d’une couche de
RNR ? Que représente chaque dimension ? Qu’en est-il des sorties ?
3.
Si vous souhaitez construire un RNR série-vers-série ...
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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.