- ISBN: 979-8866998579
- Published: November 8, 2023
- Pages: 251
- Publisher: TechPress Publications
Generative Adversarial Networks (GANs) Explained
A comprehensive guide to modern development practices and cutting-edge technologies that will transform your approach to software engineering.
- Security considerations for distributed systems
- Real-world examples and case studies
- Interview-ready implementation insights
- Companion website with code samples
Generative Adversarial Networks (GANs) Explained 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.
I've been recommending this to all my colleagues. The insights on architecture patterns are invaluable.
This helped me rethink how I approach scalability and modularity in my projects.
This is now my go-to reference for best practices. The code samples alone are worth the price.
The section on API design alone saved me hours of refactoring. Brilliantly structured.
I appreciated the balance between theory and implementation. It’s rare to find both done well.
Every chapter feels like a mentorship session with someone who’s been in the trenches.
I appreciated the balance between theory and implementation. It’s rare to find both done well.
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.
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.