À propos de ce cours

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ont commencé une nouvelle carrière après avoir terminé ce cours

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Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 5 sur 5 dans le
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Niveau intermédiaire
Approx. 16 heures pour terminer
Anglais
Sous-titres : Chinois (traditionnel), Français, Chinois (simplifié), Coréen, Anglais, Espagnol...

Compétences que vous acquerrez

Recurrent Neural NetworkArtificial Neural NetworkDeep LearningLong Short-Term Memory (ISTM)

Résultats de carrière des étudiants

39%

ont commencé une nouvelle carrière après avoir terminé ce cours

40%

ont bénéficié d'un avantage concret dans leur carrières grâce à ce cours

13%

a obtenu une augmentation de salaire ou une promotion
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 5 sur 5 dans le
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Niveau intermédiaire
Approx. 16 heures pour terminer
Anglais
Sous-titres : Chinois (traditionnel), Français, Chinois (simplifié), Coréen, Anglais, Espagnol...

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Programme du cours : ce que vous apprendrez dans ce cours

Évaluation du contenuThumbs Up94%(26,024 notes)Info
Semaine
1

Semaine 1

6 heures pour terminer

Recurrent Neural Networks

6 heures pour terminer
12 vidéos (Total 112 min), 2 lectures, 4 quiz
12 vidéos
Notation9 min
Recurrent Neural Network Model16 min
Backpropagation through time6 min
Different types of RNNs9 min
Language model and sequence generation12 min
Sampling novel sequences8 min
Vanishing gradients with RNNs6 min
Gated Recurrent Unit (GRU)17 min
Long Short Term Memory (LSTM)9 min
Bidirectional RNN8 min
Deep RNNs5 min
2 lectures
Gated Recurrent Unit (GRU) *CORRECTION*1 min
Long Short Term Memory (LSTM) *CORRECTION*1 min
1 exercice pour s'entraîner
Recurrent Neural Networks30 min
Semaine
2

Semaine 2

4 heures pour terminer

Natural Language Processing & Word Embeddings

4 heures pour terminer
10 vidéos (Total 102 min), 1 lecture, 3 quiz
10 vidéos
Using word embeddings9 min
Properties of word embeddings11 min
Embedding matrix5 min
Learning word embeddings10 min
Word2Vec12 min
Negative Sampling11 min
GloVe word vectors11 min
Sentiment Classification7 min
Debiasing word embeddings11 min
1 lecture
GloVe word vectors *CORRECTION*1 min
1 exercice pour s'entraîner
Natural Language Processing & Word Embeddings30 min
Semaine
3

Semaine 3

5 heures pour terminer

Sequence models & Attention mechanism

5 heures pour terminer
11 vidéos (Total 103 min), 4 lectures, 3 quiz
11 vidéos
Picking the most likely sentence8 min
Beam Search11 min
Refinements to Beam Search11 min
Error analysis in beam search9 min
Bleu Score (optional)16 min
Attention Model Intuition9 min
Attention Model12 min
Speech recognition8 min
Trigger Word Detection5 min
Conclusion and thank you2 min
4 lectures
Bleu Score *CORRECTION*1 min
Corrections10 min
Workera's Standardized Tests for AI Skills1 min
Instructions if you are unable to open your notebook10 min
1 exercice pour s'entraîner
Sequence models & Attention mechanism30 min

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À propos du Spécialisation Deep Learning

If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning. In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach. You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice. AI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work. We will help you master Deep Learning, understand how to apply it, and build a career in AI....
Deep Learning

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