Overview

This course on Attention Mechanism introduces learners to a powerful technique that allows neural networks to focus on specific parts of an input sequence. By understanding how attention works, participants can improve the performance of various machine learning tasks such as machine translation, text summarization, and question answering. The estimated time to complete this course is approximately 45 minutes.

Prerequisites

Prospective learners should have some prior knowledge in machine learning, deep learning, natural language processing, computer vision, and Python programming.

Modules

• Understand the concept of attention and how it works
• Learn how attention mechanism is applied to machine translation

Price

No cost involved in taking this course.

How to access the course?

• Interested individuals can explore Google Cloud content on Coursera and Pluralsight with authorized on-demand partners.
• Public classroom schedules are available for those who prefer learning with an instructor.

What you will get from this course?

Upon completion of the course, participants can earn a badge of completion that can be shared on their profile and social networks.