May 2020
Intermediate to advanced
576 pages
26h 55m
French
Content preview from Deep Learning avec Keras et TensorFlow
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7.4 Traiter les longues séries
279
© Dunod – Toute reproduction non autorisée est un délit.
fois que nécessaire. Avec cette approche, vous pouvez générer des séries de longueur
quelconque. Elle ne sera peut-être pas très précise pour les prédictions à long terme,
mais elle fera un bon travail si votre objectif est de générer un morceau de musique
ou un texte original, comme nous le verrons au chapitre8.
Lors de la prévision de séries chronologiques, Il est souvent intéressant de
disposer de barres d’erreur avec les prédictions. Pour cela, la technique
MC Dropout, introduite au chapitre 3, est efficace : ajoutez une couche
MC Drop out dans chaque ...
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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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.