Attention Mechanism

Coursera MOOC / Non-credit USD 49

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About this course

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.

What you'll learn

understand the concept of attention mechanisms
apply attention techniques to enhance machine learning models
improve performance in machine translation tasks
implement attention mechanisms for text summarization
utilize attention for question answering systems

Skills you'll gain

deep learning artificial intelligence text summarization neural networks question answering machine translation ml model performance attention mechanisms sequence modeling

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Modèles de séquence

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