May 2020
Intermediate to advanced
576 pages
26h 55m
French
Content preview from Deep Learning avec Keras et TensorFlow
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.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.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.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.
122
Chapitre 3. Entraînement de réseaux de neurones profonds
3.3 OPTIMISEURS PLUS RAPIDES
Lorsque le réseau de neurones profond est très grand, l’entraînement peut se révéler
péniblement lent. Jusqu’à présent, nous avons vu quatre manières d’accélérer l’en-
traînement (et d’atteindre une meilleure solution)
: appliquer une bonne stratégie
d’initialisation des poids des connexions, utiliser une bonne fonction d’activation,
utiliser la normalisation par lots, et réutiliser des parties d’un réseau préentraîné
(éventuellement construit à partir d’une tâche secondaire ou en utilisant un appren
-
tissage non supervisé). Nous pouvons également accélérer ...
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