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
Attention Mechanism
Instructor: Google Cloud Training
Sponsored by Coursera Learning Team
3,715 already enrolled
Gain insight into a topic and learn the fundamentals.
4.2
(45 reviews)
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
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Assessments
1 assignment
Taught in English
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There is 1 module in this course
In this module 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.
What's included
1 video1 assignment
Instructor
Instructor ratings
4.6 (12 ratings)Offered by
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Learner reviews
4.2
45 reviews
- 5 stars
62.22%
- 4 stars
13.33%
- 3 stars
11.11%
- 2 stars
4.44%
- 1 star
8.88%
Showing 3 of 45
VO
4
Reviewed on Jan 30, 2025
Clear short and direct I would be nice a more example, for example employed of multi-head attention but in general is very good.
KZ
4
Reviewed on Aug 26, 2024
Small and compact, I would call it a more intermediate course so be ready.
SK
5
Reviewed on Oct 16, 2024
So informative and one of the greatest topic and explained really well.
Recommended if you're interested in Information Technology
University of Glasgow
Google Cloud
Google Cloud
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