Techo Reads
Learn Neural Networks & Deep Learning WebGPU API & Compute Shaders
A comprehensive guide to mastering webgpu, compute, shader and more.
Book Details
- ISBN: 979-8329136074
- Publication Date: June 22, 2024
- Pages: 521
- 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
I've been recommending this to all my colleagues working with compute. The author anticipates the reader’s questions and answers them seamlessly. It helped me refactor legacy code with confidence and clarity.
It’s rare to find something this insightful about shader. The pacing is perfect—never rushed, never dragging.
I've read many books on this topic, but this one stands out for its clarity on webgpu.
The clarity and depth here are unmatched when it comes to Shaders.
This helped me connect the dots I’d been missing in Learn. I’ve already recommended this to several teammates and junior devs. The emphasis on readability and structure has elevated our entire codebase.
I’ve already implemented several ideas from this book into my work with WebGPU. The diagrams and visuals made complex ideas much easier to grasp.
This book completely changed my approach to shader.
The insights in this book helped me solve a critical problem with webgpu.
After reading this, I finally understand the intricacies of Networks.
This book offers a fresh perspective on shader. I particularly appreciated the chapter on best practices and common pitfalls.
I've been recommending this to all my colleagues working with Learn.
This book bridges the gap between theory and practice in WebGPU.
This book offers a fresh perspective on Compute.
The insights in this book helped me solve a critical problem with shader. I’ve already recommended this to several teammates and junior devs. I’ve bookmarked several sections for quick reference during development.
I've been recommending this to all my colleagues working with Neural. The code samples are well-documented and easy to adapt to real projects.
I've read many books on this topic, but this one stands out for its clarity on Shaders.
The author's experience really shines through in their treatment of Shaders.
The clarity and depth here are unmatched when it comes to compute. The troubleshooting tips alone are worth the price of admission. I'm planning to use this as a textbook for my team's training program.
This book offers a fresh perspective on Learning. I found myself highlighting entire pages—it’s that insightful.
The practical advice here is immediately applicable to Learning.
The clarity and depth here are unmatched when it comes to Networks. I especially liked the real-world case studies woven throughout.
The author has a gift for explaining complex concepts about Learn.
It’s rare to find something this insightful about WebGPU.
This book bridges the gap between theory and practice in Learning.
The author has a gift for explaining complex concepts about Shaders. I appreciated the thoughtful breakdown of common design patterns. I've already seen improvements in my code quality after applying these techniques.
Join the Discussion
Related Books
101 Ray-Tracing, Ray-Marching and Path-Tracing Projects: A Hands-On Journey Through 101 Programming Project Examples
Published: March 2, 2025
View Details
WebGPU and WGSL by Example: Fractals, Image Effects, Ray-Tracing, Procedural Geometry, 2D/3D, Particles, Simulations
Published: March 18, 2024
View Details