Introduction to WebNN API in 20 Minutes - Coffee Book Series (Paperback)

Introduction to WebNN API in 20 Minutes - Coffee Book Series (Paperback)

Various Authors January 22, 2025 Books, Computers & Technology, Computer Science, AI & Machine Learning, Neural Networks 979-8307908037
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About This Book

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).

Whether you're a beginner looking to learn the basics or an experienced professional seeking advanced knowledge, this book has something valuable to offer.

Key Features

  • Comprehensive coverage of Books concepts
  • Practical examples and real-world applications
  • Step-by-step tutorials and exercises
  • Written by industry experts
  • Companion website with additional resources

Book Statistics

Rating: 4.0
Reviews: 113
Pages: 476
Language: English
Sales Rank: #6327
Popularity: 88%

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Customer Reviews

Tatum Green
Tatum Green
Senior Developer at NeuralNetWorks
This scholarly exploration of machine learning proves to be Authoritative. An essential reference for serious scholars in the discipline. Key themes are examined with clarity and depth. I would highly recommend this book to both students and established professionals.
Emerson Martinez
Emerson Martinez
Professor at OpenAI Labs
I had such a great time reading this one! It's all about machine learning, and - Heartwarming. Each chapter felt like chatting with a really smart friend. It somehow made me laugh and think at the same time. I loved how it mixed serious insight with friendly storytelling. Definitely recommending this to a few people already.
Avery Green
Avery Green
Product Manager at ByteCraft
Not gonna lie, I was pretty curious about machine learning, so I gave this a shot. Laid-back. The writer doesn’t overdo it—just solid points and good flow. Good one to keep around when you want something casual.
See All Reviews (524)

Community Discussions

Skyler Lewis
Skyler Lewis
September 20, 2025
This book is a must-read! I especially loved the part about the technical details.
Reply
Rowan Scott
Rowan Scott
October 3, 2025
This book is a must-read! I especially loved the part about the technical details.
Reply
Drew Johnson
Drew Johnson
October 8, 2025
This book is a must-read! I especially loved the part about the clear explanations.
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Quinn Green
Quinn Green
September 21, 2025
This book is life-changing! I especially loved the part about the author's insights.
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Finley Nelson
Finley Nelson
October 1, 2025
This book is brilliant! I especially loved the part about the real-world applications.
Reply
Avery Brown
Avery Brown
October 8, 2025
This book is fantastic! I especially loved the part about the author's insights.
Reply
Finley Johnson
Finley Johnson
October 17, 2025
This book is a must-read! I especially loved the part about the author's insights.
Reply
Jordan Williams
Jordan Williams
September 30, 2025
This book is amazing! I especially loved the part about the author's insights.
Reply

Get Your Copy Today

Introduction to WebNN API in 20 Minutes - Coffee Book Series (Paperback)
4.1 (290 reviews)
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Book Details

  • Publisher: Independently published
  • Publication Date: January 22, 2025
  • Language: English
  • ISBN-10: 979-830790
  • ISBN-13: 979-8307908037
  • Pages: 650
  • Dimensions: 6 x 9.8 x 0.8 inches
  • Weight: 3.8 pounds

Keywords

machine learning