This course, offered by Google Cloud, provides in-depth learning about attention mechanisms. The attention mechanism is an advanced technique used to help neural networks recognize important parts of input sequences. Through this course, you will gain an understanding of the concept and mechanism of attention and learn how to apply attention mechanisms to tasks such as machine translation. The modules cover key aspects of attention mechanisms and their application in machine learning tasks.
What You'll Learn:
Certificate Available ✔
Get Started / More InfoThis course comprises modules that cover the overview and application of attention mechanisms in various machine learning tasks, providing comprehensive insights into this advanced technique.
Get an overview of attention mechanisms, understanding their fundamental concepts and applications. This module provides insights into the importance of attention mechanisms in machine learning tasks.
Advance your cloud career as a Google Cloud Database Engineer with hands-on training in managing, migrating, and troubleshooting databases using Google Cloud technologies....
Building No-Code Apps with AppSheet: Automation equips learners with the skills to implement business process automation using AppSheet constructs.
Explore the lineage of data with Cloud Data Fusion through sample pipelines, dataset and field level lineage, and passing handshaking information between pipelines....
Migrate to Cloud SQL for PostgreSQL using Database Migration Service is a self-paced lab in the Google Cloud console where you learn to migrate databases from a...