DeepLearning.AI
Natural Language Processing with Sequence Models
DeepLearning.AI

Natural Language Processing with Sequence Models

This course is part of Natural Language Processing Specialization

Taught in English

Some content may not be translated

Younes Bensouda Mourri
Łukasz Kaiser
Eddy Shyu

Instructors: Younes Bensouda Mourri

64,342 already enrolled

Course

Gain insight into a topic and learn the fundamentals

4.5

(1,094 reviews)

|

93%

Intermediate level

Recommended experience

21 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Use recurrent neural networks, LSTMs, GRUs & Siamese networks in Trax for sentiment analysis, text generation & named entity recognition.

Details to know

Shareable certificate

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Assessments

3 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.5

(1,094 reviews)

|

93%

Intermediate level

Recommended experience

21 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Natural Language Processing Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • Gain a foundational understanding of a subject or tool
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There are 3 modules in this course

Learn about the limitations of traditional language models and see how RNNs and GRUs use sequential data for text prediction. Then build your own next-word generator using a simple RNN on Shakespeare text data!

What's included

15 videos15 readings1 quiz2 programming assignments1 app item4 ungraded labs

Learn about how long short-term memory units (LSTMs) solve the vanishing gradient problem, and how Named Entity Recognition systems quickly extract important information from text. Then build your own Named Entity Recognition system using an LSTM and data from Kaggle!

What's included

8 videos9 readings1 quiz1 programming assignment1 ungraded lab

Learn about Siamese networks, a special type of neural network made of two identical networks that are eventually merged together, then build your own Siamese network that identifies question duplicates in a dataset from Quora.

What's included

10 videos10 readings1 quiz1 programming assignment3 ungraded labs

Instructors

Instructor ratings
4.4 (214 ratings)
Younes Bensouda Mourri
DeepLearning.AI
5 Courses194,261 learners

Offered by

DeepLearning.AI

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