Modèles de séquence


Gain insight into a topic and learn the fundamentals

Andrew Ng
Kian Katanforoosh
Younes Bensouda Mourri

Instructors: Andrew Ng

Top Instructor

Intermediate level
Some related experience required
15 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace

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3 quizzes

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 quiz3 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 quiz2 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 quiz2 programming assignments2 ungraded labs


Andrew Ng

Top Instructor

44 Courses7,429,458 learners

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