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Matt R. Cole - Deep Learning with C#, .Net and Kelp.Net

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Matt R. Cole Deep Learning with C#, .Net and Kelp.Net
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Deep Learning with C Net and KelpNet - image 1

Deep Learning with
C#, .NET and Kelp.NET
The Ultimate Kelp.Net
Deep Learning Guide
by
Matt R. Cole
Deep Learning with C Net and KelpNet - image 2
FIRST EDITION 2019Copyright BPB Publications, IndiaISBN: 978-93-88511-018 All Rights Reserved. No part of this publication may be reproduced or distributed in any form or by any means or stored in a database or retrieval system, without the prior written permission of the publisher with the exception to the program listings which may be entered, stored and executed in a computer system, but they can not be reproduced by the means of publication. LIMITS OF LIABILITY AND DISCLAIMER OF WARRANTY The information contained in this book is true to correct and the best of authors & publishers knowledge. The author has made every effort to ensure the accuracy of these publications, but cannot be held responsible for any loss or damage arising from any information in this book. Distributors:BPB PUBLICATIONS
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About the Author
Matt R. Cole is a seasoned developer and 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) used by a major hedge fund in NYC and also developed the first Bio Artificial Intelligence Swarm framework which completely integrates mirror and canonical neurons. He continues to push the limits of Machine Learning, Biological or Swarm Artificial Intelligence, Deep Learning and MicroServices.

In his spare time, he continues his education taking every available course in advanced Mathematics, AL/ML/DL, Quantum Mechanics/Physics, String Theory and Computational Neuroscience and contributes to open source efforts such as Kelp.Net.

Reviewer
Gaurav Arora has done M.Phil in computer science. He is a Microsoft X-MVP, life time member of Computer Society of India (CSI), Advisory member of IndiaMentor, certified as a scrum trainer/coach, XEN for ITIL-F and APMG for PRINCE-F and PRINCE-P. He is an Open source developer, contributor to TechNet Wiki, Founder of Ovatic Systems Private Limited. In 22+ years of his career, he has mentored thousands of students and industry professionals.
Preface
For those of you who are C# developers, you know how painfully hard it is to find good examples of how to implement deep learning in your applications without resorting to using languages such as Python and R.
Preface
For those of you who are C# developers, you know how painfully hard it is to find good examples of how to implement deep learning in your applications without resorting to using languages such as Python and R.

This book is designed to give you all you need to accomplish this goal. You will find that Kelp.Net is an invaluable tool used to create powerful and expressive deep learning models. But I know that along the way, someone might ask you what is happening behind the scenes. This is why I have also chosen to include and deeply integrate ReflectInsight into this book, so that all the output goes into this power logging application. One of the hardest questions to answer is what your deep learning models are doing behind the scenes. This book makes it easy to answer this question.

Not only will you be able to easily create your own deep learning models, but you will also gain a better understanding about what is going on behind the scenes. This book is a must for every C# developer who wants to learn deep learning and is the penultimate reference guide for Kelp. Net.

Acknowledgements
This book would not have been possible without the incredible support I received from my wife, Neda every day. I would also like to thank everyone at BPB Publications for giving me the opportunity to write this incredible book and for being an incredible supportive platform for authors. I would like to thank Mindy and Cocoa for their unique kind of support.

I wouldnt have it any other way! And finally, a big thank you all the readers for purchasing this book and taking your first (or next) step down the road to deep learning. May your journey be a good one!

Downloading the code
bundle and colored images:
Please follow the link to download the
Code Bundle and the Colored Images of the book: https://rebrand.ly/50f4c
Errata
We take immense pride in our work at BPB Publications and follow best practices to ensure the accuracy of our content to provide with an indulging reading experience to our subscribers. Our readers are our mirrors, and we use their inputs to reflect and improve upon human errors if any, occurred during the publishing processes involved. To let us maintain the quality and help us reach out to any readers who might be having difficulties due to any unforeseen errors, please write to us at : errata@bpbonline.com Your support, suggestions and feedbacks are highly appreciated by the BPB Publications Family.
Take This ___
and ___ It
Even though we are meeting for the first time, I can guess the two words that you have in mind to fill in the blanks for this sentence. How can that be? And not only that, I bet that it is not just you and I that have picked the same two words.

The chances are high that many of us have. How could it be that the chances of all of us picking the same two words without thinking about it are so very high? I am sure we can all recall hearing this phrase somewhere in the past (and maybe one or two of us said it), but is the pattern recognition in our brains so good that these two words immediately were the ones that came to mind when we saw a partial implementation of that sentence? And how could so many of us, seemingly unconnected from each other, arrive at the same two words and complete the sentence in the same way in probably close to the same amount of time? Did we just witness a marvelous example of unsupervised deep learning at its finest or was it something else? How can such advanced pattern recognition ability happen so fast and be so predictable among a huge population of people? Or maybe it was reinforcement learning that brought this to the mind (Lord knows I have received negative reinforcement for saying it!). Regardless of how, something marvelous surely has just happened. Let us think about this for a second, shall we? We have an area in our brains called the hippocampus and this area stores episodic memories (stuff that happened to you and me). Within the hippocampus, many neurons just fired when we saw that sentence, and the exciting neurons which they were connected to and so on, which made them fire until the pattern was complete. And all this happened in the blink of an eye.

But did any of us have to give any thought into having to complete that sentence, or did it seem to pop up from our subconscious mind with the greatest of ease? The truth is that we may never know, at least not fully, but theories are abounded. So how many of you work in the real world as developers? For those who do, you know more often than not we walk through the doors, put our firemans hat on, and off we go. How we long for some pure R & D time where we can work on our code, create better algorithms, enhance the UI we have been putting off for what seems like forever. Ah! To be like the academic world for even the smallest amount of time! But alas, we are in the real world! We have products to deliver and timelines to meet. Some of us work around an agile approach to development, some do not. Everyone seems to be doing the same things, albeit a little bit differently.

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