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

Key Features 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

Description
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.

What you will learn
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

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

Table of Contents
Introduction
ML/DL Terms and Concepts
Deep Instrumentation
Kelp.Net Reference
Loading and Saving Models
Model Testing and Training
Sample Deep Learning Tests
Creating Your Own Deep Learning Tests
Appendix A: Evaluation Metrics
Appendix B: OpenCL

About the Author
Matt R. Cole is a seasoned developer and published author with over 30 years' experience in Microsoft Windows, C, C++, C# and .Net.

He is the owner of Evolved AI Solutions, a premier provider of advanced Machine Learning/Bio-AI technologies.

He developed the first enterprise grade MicroService framework written completely in C# and .Net, which is used in production by a major hedge fund in NYC.

He also developed the first Bio Artificial Intelligence framework which completely integrates mirror and canonical neurons. He continues to push the limits of Machine Learning, Biological Artificial Intelligence, Deep Learning and MicroServices.
In his spare time Matt loves to continue his education and contribute to open source efforts such as Kelp.Net.

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