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

Natural Language Processing with Sequence Models

Younes Bensouda Mourri
Łukasz Kaiser

Instructors: Younes Bensouda Mourri

70,097 already enrolled

Gain insight into a topic and learn the fundamentals.
4.5

(1,129 reviews)

Intermediate level

Recommended experience

Flexible schedule
Approx. 21 hours
Learn at your own pace
93%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.5

(1,129 reviews)

Intermediate level

Recommended experience

Flexible schedule
Approx. 21 hours
Learn at your own pace
93%
Most learners liked this course

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

Add to your LinkedIn profile

Assessments

3 quizzes

Taught in English

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

Placeholder

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.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

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 (222 ratings)
Younes Bensouda Mourri
DeepLearning.AI
5 Courses213,747 learners

Offered by

DeepLearning.AI

Recommended if you're interested in Machine Learning

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

Showing 3 of 1129

4.5

1,129 reviews

  • 5 stars

    70.86%

  • 4 stars

    16.46%

  • 3 stars

    6.60%

  • 2 stars

    3.34%

  • 1 star

    2.72%

NL
4

Reviewed on Nov 13, 2021

AG
5

Reviewed on Sep 20, 2020

BS
5

Reviewed on Sep 25, 2020

New to Machine Learning? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions