Attention Mechanism
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.
Monthly Subscription Starting at AED 99 + VAT
- Level Expert
- Duration 1 hour
- Course by Google Cloud
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Offered by
About
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.Modules
Introduction
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Assignment
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Assignment
- Attention Mechanism: Quiz
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Videos
- Attention Mechanism: Overview
Auto Summary
Unlock the potential of neural networks with the "Attention Mechanism" course, designed for experts in the IT and Computer Science domain. This advanced course, offered by Coursera, delves into the intricacies of the attention mechanism—a groundbreaking technique that enhances machine learning models by enabling them to focus on relevant segments of input data. Throughout this comprehensive program, you will gain a deep understanding of how attention mechanisms function and their applications in improving machine learning tasks such as machine translation, text summarization, and question answering. The course promises to equip you with the skills to leverage attention for optimizing the performance of your neural networks. Delivered by an esteemed instructor, this one-month course is available through Coursera's Starter subscription. It is tailored for seasoned professionals and experts eager to elevate their knowledge and expertise in machine learning and neural network technologies. Join now to master attention mechanisms and transform your approach to complex machine learning challenges.
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