Learn Neural Networks & Deep Learning WebGPU API & Compute Shaders
Learn Neural Networks & Deep Learning WebGPU API & Compute Shaders view 1
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Learn Neural Networks & Deep Learning WebGPU API & Compute Shaders

4.7 (55 reviews)
webgpucomputeshadermachine learning

A comprehensive guide to mastering webgpu, compute, shader and more.

Book Details
  • ISBN: 979-8329136074
  • Publication Date: June 22, 2024
  • Pages: 391
  • Publisher: Tech Publications

About This Book

This book provides in-depth coverage of webgpu and compute, offering practical insights and real-world examples that developers can apply immediately in their projects.

What You'll Learn
  • Master the fundamentals of webgpu
  • Implement advanced techniques for compute
  • Optimize performance in shader applications
  • Apply best practices from industry experts
  • Troubleshoot common issues and pitfalls
Who This Book Is For

This book is perfect for developers with intermediate experience looking to deepen their knowledge of webgpu and compute. Whether you're building enterprise applications or working on personal projects, you'll find valuable insights and techniques.

Reviews & Discussions

Emerson Walker
Emerson Walker
Site Reliability Engineer at Airbnb
12 days ago

This book made me rethink how I approach Neural. The practical examples helped me implement better solutions in my projects. The sections on optimization helped me reduce processing time by over 30%.

Casey Miller
Casey Miller
Game Developer at Google
5 months ago

It’s the kind of book that stays relevant no matter how much you know about machine learning. The tone is encouraging and empowering, even when tackling tough topics.

Morgan Young
Morgan Young
Product Designer at Nvidia
11 months ago

After reading this, I finally understand the intricacies of Neural.

Emerson Adams
Emerson Adams
Tech Lead at LinkedIn
28 days ago

I wish I'd discovered this book earlier—it’s a game changer for Networks.

Drew Lopez
Drew Lopez
Software Engineer at Apple
3 months ago

The writing is engaging, and the examples are spot-on for WebGPU. I was able to apply what I learned immediately to a client project. I’ve used several of the patterns described here in production already.

Kai Baker
Kai Baker
Software Engineer at Shopify
4 months ago

I keep coming back to this book whenever I need guidance on Learning. I was able to apply what I learned immediately to a client project.

Kai Scott
Kai Scott
Tech Lead at Stripe
6 days ago

This resource is indispensable for anyone working in Shaders.

Emerson Williams
Emerson Williams
Systems Architect at Red Hat
1 months ago

I’ve shared this with my team to improve our understanding of Shaders.

Morgan Carter
Morgan Carter
Backend Developer at Twitter
7 months ago

I've been recommending this to all my colleagues working with webgpu.

Finley Hall
Finley Hall
API Evangelist at Red Hat
25 days ago

The practical advice here is immediately applicable to Learning. This book strikes the perfect balance between theory and practical application. The testing strategies have improved our coverage and confidence.

Parker Green
Parker Green
Technical Writer at Oracle
7 months ago

I’ve bookmarked several chapters for quick reference on machine learning. The author’s passion for the subject is contagious.

Micah Johnson
Micah Johnson
Innovation Lead at Zoom
8 months ago

This resource is indispensable for anyone working in shader.

Blake Smith
Blake Smith
UX Strategist at Salesforce
1 days ago

The examples in this book are incredibly practical for Neural.

Taylor Adams
Taylor Adams
QA Analyst at Slack
28 days ago

This book completely changed my approach to Networks. The code samples are well-documented and easy to adapt to real projects.

Dakota Baker
Dakota Baker
Senior Developer at Stripe
8 months ago

A must-read for anyone trying to master Learning.

Jules Nguyen
Jules Nguyen
Frontend Engineer at Intel
7 months ago

I wish I'd discovered this book earlier—it’s a game changer for Learn.

Micah Young
Micah Young
Automation Specialist at Red Hat
18 days ago

This book gave me the confidence to tackle challenges in WebGPU. I appreciated the thoughtful breakdown of common design patterns. It’s helped me write cleaner, more maintainable code across the board.

Micah Young
Micah Young
ML Engineer at Red Hat
7 months ago

After reading this, I finally understand the intricacies of Networks. It’s the kind of book you’ll keep on your desk, not your shelf.

Riley Baker
Riley Baker
Platform Engineer at Atlassian
7 months ago

This book offers a fresh perspective on WebGPU.

Casey Hall
Casey Hall
Frontend Engineer at IBM
1 days ago

This book bridges the gap between theory and practice in Shaders.

Micah Adams
Micah Adams
Platform Engineer at Atlassian
4 months ago

I’ve shared this with my team to improve our understanding of compute. The code samples are well-documented and easy to adapt to real projects.

Rowan Adams
Rowan Adams
UX Strategist at Snap Inc.
7 months ago

This book gave me the confidence to tackle challenges in machine learning.

Jules Carter
Jules Carter
Platform Engineer at Slack
21 days ago

It’s the kind of book that stays relevant no matter how much you know about Networks. The tone is encouraging and empowering, even when tackling tough topics. The testing strategies have improved our coverage and confidence.

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