- ISBN: 979-8329136074
- Published: June 22, 2024
- Pages: 299
- Publisher: TechPress Publications
Learn Neural Networks and Deep Learning with WebGPU and Compute Shaders
A comprehensive guide to modern development practices and cutting-edge technologies that will transform your approach to software engineering.
- Companion website with code samples
- Hands-on exercises and projects
- Guidance on choosing the right tech stack
- Security considerations for distributed systems
- Step-by-step walkthroughs of core components
- Strategies for fault tolerance and recovery
Learn Neural Networks and Deep Learning with WebGPU and Compute Shaders is an essential resource for developers looking to master modern software development practices. Through clear explanations and practical examples, this book covers everything from fundamental concepts to advanced techniques.
Whether you're a beginner looking to build a solid foundation or an experienced developer seeking to update your skills, this book provides valuable insights that you can immediately apply to your projects.
- Introduction to Modern Development Practices
- Core Concepts and Fundamentals
- Advanced Techniques and Patterns
- Real-World Applications
- Best Practices and Optimization
- Future Trends and Technologies
- Appendix: Additional Resources
Author
With over 15 years of experience in software development and education, The author has worked with leading tech companies and universities to develop cutting-edge curriculum and training programs.
Community Reviews
I’ve read dozens of dev books, and this one actually made me excited to refactor legacy code.
I was skeptical at first, but this book exceeded my expectations. The real-world examples make all the difference.
The section on API design alone saved me hours of refactoring. Brilliantly structured.
This book completely changed my approach to coding. The examples are practical and easy to follow.
This helped me rethink how I approach scalability and modularity in my projects.
I appreciated the balance between theory and implementation. It’s rare to find both done well.
The author explains complex concepts in a way that's accessible to beginners but still valuable for experienced devs.
This is now my go-to reference for best practices. The code samples alone are worth the price.
The author explains complex concepts in a way that's accessible to beginners but still valuable for experienced devs.
This is now my go-to reference for best practices. The code samples alone are worth the price.
As a senior developer, I found this book refreshing. It covers advanced topics without being overly academic.
This book completely changed my approach to coding. The examples are practical and easy to follow.
The writing style is engaging without sacrificing depth. I didn’t expect to enjoy it this much.
As a senior developer, I found this book refreshing. It covers advanced topics without being overly academic.
The section on API design alone saved me hours of refactoring. Brilliantly structured.
The author explains complex concepts in a way that's accessible to beginners but still valuable for experienced devs.
This is now my go-to reference for best practices. The code samples alone are worth the price.
The writing style is engaging without sacrificing depth. I didn’t expect to enjoy it this much.
Every chapter feels like a mentorship session with someone who’s been in the trenches.
Every chapter feels like a mentorship session with someone who’s been in the trenches.
The section on API design alone saved me hours of refactoring. Brilliantly structured.
It’s not just a book—it’s a toolbox. I keep coming back to it during code reviews and planning sessions.
This book completely changed my approach to coding. The examples are practical and easy to follow.
This helped me rethink how I approach scalability and modularity in my projects.
I appreciated the balance between theory and implementation. It’s rare to find both done well.
Finally, a technical book that respects your time. No fluff, just solid engineering wisdom.
I’ve read dozens of dev books, and this one actually made me excited to refactor legacy code.
I was skeptical at first, but this book exceeded my expectations. The real-world examples make all the difference.