Deep Learning with C#, .Net and Kelp.Net

Deep Learning with Kelp.Net is the ultimate reference for C# .Net developers who are passionate about deep learning. Readers will learn all the skills necessary to develop powerful, scalable and flexible deep learning models from a fluid and easy to use API. Upon completing the book the reader will have all the tools necessary to add powerful deep learning capabilities to their new or existing applications.

Get hands on with Kelp.Net, Microsoft’s latest Deep Learning framework

• Deep Learning Basics
• The ultimate Kelp.Net reference guide
• Develop state of the art deep learning applications
• C# deep learning code
• Develop advanced deep learning models with minimal code
• Develop your own advanced deep learning models
• Loading and Saving Deep Learning Models
• Comprehensive Kelp.Net reference
• Sample Deep Learning Models and Tests
• OpenCL Reference
• Easily add deep learning to your applications
• Many sample models and tests
• Intuitive and user friendly

• In-depth knowledge of Kelp.Net
• How to develop deep learning models
• C# deep learning programming
• Open-Computing Language (OpenCL)
• Loading and saving deep learning models
• How to develop and use activation functions
• How to test deep learning models

This book targets C# .Net developers who are passionate about deep learning yet want to do so from an easy and intuitive API.

1. Introduction
2. ML/DL Terms and Concepts
3. Deep Instrumentation
4. Kelp.Net Reference
5. Loading and Saving Models
6. Model Testing and Training
7. Sample Deep Learning Tests
8. Creating Your Own Deep Learning Tests
9. Appendix A: Evaluation Metrics
10. Appendix B: OpenCL