Deep Learning with C#, .Net and Kelp.Net: The Ultimate Kelp.Net Deep Learning Guide Contributor(s): Cole, Matt R. (Author) |
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ISBN: 9388511018 ISBN-13: 9789388511018 Publisher: Bpb Publications OUR PRICE: $23.74 Product Type: Paperback Published: May 2019 |
Additional Information |
BISAC Categories: - Computers | Neural Networks |
Physical Information: 0.85" H x 7.5" W x 9.25" (1.57 lbs) 416 pages |
Descriptions, Reviews, Etc. |
Publisher Description: Get hands on with Kelp.Net, Microsoft's latest Deep Learning framework Key Features 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 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 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. His Website www.evolvedaisolutions.com His LinkedIn Profile www.linkedin.com/in/evolvedai/ His Blog www.evolvedaisolutions.com/blog.html |