Attention Mechanism
Attention Mechanism
These skills were generated by A.I. Do you agree this course teaches these skills?
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.
This course is estimated to take approximately 45 minutes to complete.
Course Info
Objectives
- Understand the concept of attention and how it works
- Learn how attention mechanism is applied to machine translation
Prerequisites
The prospective learner of the above course would need to have some pre-existing knowledge of the following:
- Machine learning
- Deep learning
- Natural language processing
- Computer vision
- Python programming
Audience
Data Scientist,
Machine Learning Engineers
Software Engineers
Available languages
English, español (Latinoamérica), français, עברית, bahasa Indonesia, italiano, 日本語, 한국어, português (Brasil), 简体中文, and 繁體中文
What do I do when I finish this course?
After finishing this course, you can explore additional content in your learning path or browse the catalog.
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Interested in taking this course with one of our authorized on-demand partners?
Explore Google Cloud content on Coursera and Pluralsight.
Prefer learning with an instructor?
View the public classroom schedule here.
Can I take this course for free?
When you enroll into most courses, you will be able to consume course materials like videos and documents for free. If a course consists of labs, you will need to purchase an individual subscription or credits to be able consume the labs. Labs can also be unlocked by any campaigns you participate in. All required activities in a course must be completed to be awarded the completion badge.