Attention Mechanism (Coursera)

Offered by Google Cloud,
Attention Mechanism (Coursera)

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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Syllabus

WEEK 1
Introduction
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.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Developing AI Applications on Azure (Coursera) Coursera
LearnQuest

Developing AI Applications on Azure (Coursera)

This course introduces the concepts of Artificial Intelligence and Machine learning. We'll discuss machine learning types and tasks, and machine learning algorithms. You'll explore Python as a popular programming language for machine learning solutions, including using some scientific ecosystem packages which will help you implement machine learning.

Oct 19th 2026
5-12 Weeks
Ethical Issues in Data Science (Coursera) Coursera
University of Colorado Boulder

Ethical Issues in Data Science (Coursera)

Computing applications involving large amounts of data – the domain of data science – impact the lives of most people in the U.S. and the world. These impacts include recommendations made to us by internet-based systems, information that is available about us online, techniques that are used for security and surveillance, data that is used in health care, and many more. In many cases, they are affected by techniques in artificial intelligence and machine learning.

Oct 26th 2026
5-12 Weeks
Machine Learning for Accounting with Python (Coursera) Coursera
University of Illinois at Urbana-Champaign

Machine Learning for Accounting with Python (Coursera)

This course, Machine Learning for Accounting with Python, introduces machine learning algorithms (models) and their applications in accounting problems. It covers classification, regression, clustering, text analysis, time series analysis. It also discusses model evaluation and model optimization. This course provides an entry point for students to be able to apply proper machine learning models on business related datasets with Python to solve various problems.

Oct 19th 2026
5-12 Weeks
Introduction to Vertex AI (Coursera) Coursera
Fractal Analytics

Introduction to Vertex AI (Coursera)

Welcome to "Introduction to Vertex AI"! In this concise yet impactful microlearning course spanning around 4 hours, we're diving into the world of Vertex AI to equip you with fundamental insights and practical skills. We'll unravel the essentials of Vertex AI, guiding you through the interface to empower you to navigate this powerful platform seamlessly. Get ready to grasp strategic insights that will enable you to effectively harness the capabilities of Vertex AI in your projects.

Oct 26th 2026
2 Weeks
Machine Learning for All (Coursera) Coursera
University of London

Machine Learning for All (Coursera)

Machine Learning, often called Artificial Intelligence or AI, is one of the most exciting areas of technology at the moment. We see daily news stories that herald new breakthroughs in facial recognition technology, self driving cars or computers that can have a conversation just like a real person. Machine Learning technology is set to revolutionise almost any area of human life and work, and so will affect all our lives, and so you are likely to want to find out more about it.

Oct 19th 2026
4 Weeks
Machine Learning Algorithms (Coursera) Coursera
Sungkyunkwan University - SKKU

Machine Learning Algorithms (Coursera)

In this course you will: understand the naïve Bayesian algorithm; understand the Support Vector Machine algorithm; understand the Decision Tree algorithm; understand the Clustering. Please make sure that you’re comfortable programming in Python and have a basic knowledge of mathematics including matrix multiplications, and conditional probability.

Oct 26th 2026
4 Weeks
Introduction to ADHD: What It Is and How It’s Treated (Coursera) Coursera
Universidad de Palermo

Introduction to ADHD: What It Is and How It’s Treated (Coursera)

What is Attention Deficit Hyperactivity Disorder (ADHD)? Does a person who is easily distracted have ADHD? What are the symptoms or warning signs of ADHD? How does ADHD affect everyday life? In this online course, we will characterize ADHD symptoms and behavior, which seems to be increasingly common in the general population. We will describe different types of attention, the way ADHD affects attention in children and adults, similarities and differences between this and other disorders, as well as different ADHD treatments and interventions.

Oct 19th 2026
4 Weeks
Optimización de Redes Neuronales Profundas (Coursera) Coursera
Universidad Austral

Optimización de Redes Neuronales Profundas (Coursera)

Este curso se centrará en la optimización de Redes Neuronales Profundas, cambiando la idea de que todo el proceso es una “caja negra”. Comprenderá qué impulsa el rendimiento y podrá obtener mejores resultados de manera más sistemática. Entenderá cómo optimizar los principales Hiperparámetros y su implementación. Además, aprenderá nuevos conceptos útiles para el entrenamiento de las redes como los mini-batch y las regularizaciones. También, aprenderá a implementar una red neuronal utilizando TensorFlow

Oct 26th 2026
3 Weeks
An Introduction to Consumer Neuroscience & Neuromarketing (Coursera) Coursera
Copenhagen Business School

An Introduction to Consumer Neuroscience & Neuromarketing (Coursera)

How do we make decisions as consumers? What do we pay attention to, and how do our initial responses predict our final choices? To what extent are these processes unconscious and cannot be reflected in overt reports? This course will provide you with an introduction to some of the most basic methods in the emerging fields of consumer neuroscience and neuromarketing. You will learn about the methods employed and what they mean. You will learn about the basic brain mechanisms in consumer choice, and how to stay updated on these topics. The course will give an overview of the current and future uses of neuroscience in business.

Oct 19th 2026
5-12 Weeks
Google Cloud Product Fundamentals em Português Brasileiro (Coursera) Coursera
Google Cloud

Google Cloud Product Fundamentals em Português Brasileiro (Coursera)

Este curso é uma continuação do "Business Transformation with Google Cloud" e guiará você pela jornada de transformação de uma organização do ponto de vista tecnológico. Explicaremos como as organizações podem fazer a transformação digital usando a tecnologia do Google Cloud nestas categorias: modernização da infraestrutura de TI; melhorias no processo de desenvolvimento dos aplicativos da empresa; uso do machine learning e da inteligência artificial para criar novo valor; a importância de ferramentas de produtividade como o G Suite na realização do trabalho; e compreender as oportunidades e os desafios da gestão do custo que uma infraestrutura de TI na nuvem traz.

Oct 26th 2026
5-12 Weeks
Probabilistic Graphical Models 1: Representation (Coursera) Coursera
Stanford University

Probabilistic Graphical Models 1: Representation (Coursera)

Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more. They are also a foundational tool in formulating many machine learning problems.

Oct 26th 2026
5-12 Weeks