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: 4.7
Reviews: 416
Pages: 193
Language: English
Sales Rank: #9293
Popularity: 81%

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Customer Reviews

Reese Davis
Reese Davis
Book Enthusiast at ThinkStack
Excellent resource. Helpful. Delivered as promised. Exactly what I was looking for. Not overwhelming, yet thorough. Easy to follow. Added to my must-read list.
Morgan Campbell
Morgan Campbell
Mobile Developer at DeepCode Analytics
Alright, this book? Totally worth it—especially if you’re into machine learning. Pretty fun. It’s one of those reads you can chill with. The writer doesn’t overdo it—just solid points and good flow. The vibe is relaxed but still makes you think. Nice little break from heavier stuff.
Skyler Roberts
Skyler Roberts
QA Analyst at Stanford University
A beautiful dive into the world of machine learning. Incredible. It made me reflect on so many aspects of my life. Each chapter was a revelation. The writing style is warm and engaging. This is the kind of book that stays with you long after finishing. Everyone should read this at least once.
See All Reviews (635)

Community Discussions

Alex Garcia
Alex Garcia
July 8, 2025
This book is a must-read! I especially loved the part about the technical details.
Reply
Blake Mitchell
Blake Mitchell
July 2, 2025
This book is a must-read! I especially loved the part about the technical details.
Reply
Blake Smith
Blake Smith
June 22, 2025
This book is life-changing! I especially loved the part about the practical examples.
Reply
Sage Davis
Sage Davis
June 24, 2025
This book is amazing! I especially loved the part about the clear explanations.
Reply
Alex Allen
Alex Allen
July 9, 2025
This book is fantastic! I especially loved the part about the practical examples.
Reply
Charlie Jones
Charlie Jones
July 3, 2025
This book is a must-read! I especially loved the part about the technical details.
Reply
Dakota Hall
Dakota Hall
July 19, 2025
This book is amazing! I especially loved the part about the technical details.
Reply
Reese Allen
Reese Allen
July 17, 2025
This book is amazing! I especially loved the part about the practical examples.
Reply
Phoenix Scott
Phoenix Scott
June 24, 2025
This book is life-changing! I especially loved the part about the practical examples.
Reply
Hayden Brown
Hayden Brown
July 3, 2025
This book is life-changing! I especially loved the part about the real-world applications.
Reply

Get Your Copy Today

Introduction to WebNN API in 20 Minutes - Coffee Book Series (Paperback)
4.7 (745 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: 496
  • Dimensions: 9 x 9.8 x 0.0 inches
  • Weight: 1.3 pounds

Keywords

machine learning