This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. You will learn how attention works, and how it can be used to improve the performance of a variety of machine learning tasks, including machine translation, text summarization, and question answering.

Attention Mechanism
Ends tomorrow! Save 40% on your access to 10,000+ programs and make a real impact in your career. Save now.

Ask Coursera
Gain insight into a topic and learn the fundamentals.
Advanced level
Designed for those already in the industry
1 hour to complete
Flexible schedule
Learn at your own pace
What you'll learn
Understand the concept of attention and how it works
Learn how attention mechanism is applied to machine translation
Details to know

Shareable certificate
Add to your LinkedIn profile
Assessments
1 assignment
Taught in English
See how employees at top companies are mastering in-demand skills

There is 1 module in this course
Instructor

Offered by
Explore more from Cloud Computing
Status: Free Trial
Status: Free TrialDeepLearning.AI
Status: Free Trial
University of Colorado Boulder
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."




