Cette formation vous apprendra à construire des modèles pour le langage naturel, l’audio et les autres données de séquence. Grâce à l’apprentissage profond, les algorithmes de séquence fonctionnent beaucoup mieux qu’il y a deux ans ; nous disposons donc de nombreuses applications très intéressantes en matière de reconnaissance vocale, de synthèse musicale, de chatbots, de traduction automatique, de compréhension naturelle du langage, etc.
Modèles de séquence
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
15 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
Details to know
Earn a career certificate
Add to your LinkedIn profile
Assessments
3 assignments
Taught in French
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There are 3 modules in this course
Découvrez les réseaux neuronaux récurrents. Ce type de modèle s’est avéré extrêmement performant sur les données temporelles. Il comporte plusieurs variantes, y compris les LSTM, les GRU et les RNN bidirectionnels, que vous allez découvrir dans cette section.
What's included
12 videos2 readings1 assignment3 programming assignments3 ungraded labs
Le traitement du langage naturel avec l'apprentissage profond est une combinaison importante. En utilisant des représentations de vecteurs de mots et des couches de prolongements, vous pouvez former des réseaux neuronaux récurrents avec des performances exceptionnelles, dans une grande variété de secteurs. Des exemples d’applications sont l’analyse de sentiments, la reconnaissance d’entités nommées et la traduction automatique.
What's included
10 videos1 reading1 assignment2 programming assignments2 ungraded labs
Les modèles de séquence peuvent être améliorés à l’aide d’un mécanisme d’attention. Cet algorithme aidera votre modèle à comprendre où celui-ci doit focaliser son attention, compte tenu d’une séquence d’entrées. Cette semaine, vous apprendrez également à reconnaître la parole et à gérer les données audio.
What's included
11 videos3 readings1 assignment2 programming assignments2 ungraded labs
Offered by
Recommended if you're interested in Machine Learning
University of California, Irvine
Icahn School of Medicine at Mount Sinai
École Polytechnique Fédérale de Lausanne
University of Alberta
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