May 2020
Intermediate to advanced
576 pages
26h 55m
French
Content preview from Deep Learning avec Keras et TensorFlow
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8.4 Mécanismes d’attention
319
© Dunod – Toute reproduction non autorisée est un délit.
de chiens avec de la neige. Cet exemple est tiré de l’excellent article
213
publié en 2016
par Marco Tulio Ribeiro et al., dans lequel les auteurs utilisent une autre approche
pour l’explicabilité : apprendre un modèle interprétable localement autour d’une pré
-
diction d’un classificateur.
Dans certaines applications, l’explicabilité n’est pas qu’un simple outil de débogage
d’un modèle. Il peut s’agir d’une exigence légale (pensez à un système qui décide s’il
doit vous accorder un prêt).
Les mécanismes d’attention sont si puissants que vous pouvez construire des ...
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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.