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Introduction WebNN API in 20 Minutes: (Coffee Break Series) — cover

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Introduction WebNN API in 20 Minutes: (Coffee Break Series)

By Kenwright

The web is evolving - and so is your web browser - your web browser is full of tools and resources that enhance your online experience, streamline your tasks, and ensure your security and privacy. One specific tool is the WebNN API, which provides access to neural network hardware acceleration to optimize performance for machine learning applications in the browser. The web is evolving, and so is your web browser; a treasure trove of tools and resources that enhance your journey through the online digital realm. Amidst this ever-growing machine learning landscape, one recent addition that shines brightly is the WebNN API. This specific API opens the door to online neural network hardware acceleration, offering seamless performance for machine learning applications, all within the confines of your browser (an open-standard that's part of the web to help - integrated into modern browsers so you don't require any external libraries).

Pages
84
Publication
22 January 2025
Language
English
ISBN
9798307908037
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If Computer Science keeps catching your attention, “Introduction WebNN API in 20 Minutes: (Coffee Break Series)” is a title to put on your radar. Its listed scope opens a worthwhile conversation about AI & Machine Learning. Neural-network topics invite useful questions about inputs, outputs, and the evidence behind a result. Choose a small learning task and ask how you would recognise a meaningful improvement. Follow the most surprising question first. Sketch an explanation, imagine an alternative, and see what you would need to distinguish them. The best part of an interesting subject is often the next question it unlocks. A promising addition to a reading list with a purpose.

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Publisher’s synopsis

Introduction to WebNN API in 20 Minutes - Coffee Book Series (Paperback) offers a comprehensive and in-depth guide that walks you through the concepts, applications, and best practices. With a strong focus on hands-on examples and real-world relevance, it empowers you to not just learn the theory but to apply it in meaningful ways across graphics, compute, and more.

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