- ISBN: 979-8660010767
- Published: June 29, 2020
- Pages: 331
- Publisher: TechPress Publications
Deep Learning with Javascript: Example-Based Approach
A comprehensive guide to modern development practices and cutting-edge technologies that will transform your approach to software engineering.
- Comparative analysis of architecture styles
- Deployment strategies across environments
- Load balancing and traffic management techniques
- Strategies for fault tolerance and recovery
- Guidance on choosing the right tech stack
Deep Learning with Javascript: Example-Based Approach 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.
This book completely changed my approach to coding. The examples are practical and easy to follow.
I’ve read dozens of dev books, and this one actually made me excited to refactor legacy code.
This book completely changed my approach to coding. The examples are practical and easy to follow.
Clear, concise, and packed with actionable advice—this book is a must-read for any serious developer.
The writing style is engaging without sacrificing depth. I didn’t expect to enjoy it this much.