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DEEP LEARNING AND ARTIFICIAL INTELLIGENCE
Author: John Slavio
TABLE OF CONTENTS
 
DISCLAIMER
ABOUT THE AUTHOR
INTRODUCTION
WHAT ARE NEURAL NETWORKS?
BIOLOGICAL NEURAL NETWORK
ARTIFICIAL NEURAL NETWORK
KERAS MODEL AND LAYERS
DEEP LEARNING ALGORITHMS
BENEFITS OF NEURAL NETWORKS
BUSINESS APPLICATIONS OF NEURAL NETWORKS
CONCLUSION
DISCLAIMER
 
Copyright © 2017
All Rights Reserved
No part of this eBook can be transmitted or reproduced in any form including print, electronic, photocopying, scanning, mechanical, or recording without prior written permission from the author.
While the author has taken the utmost effort to ensure the accuracy of the written content, all readers are advised to follow information mentioned herein at their own risk. The author cannot be held responsible for any personal or commercial damage caused by information. All readers are encouraged to seek professional advice when needed.
ABOUT THE AUTHOR
 
John Slavio is a programmer who is passionate about the reach of the internet and the interaction of the internet with daily devices. He has automated several home devices to make them 'smart' and connect them to high speed internet. His passions involve computer security, iOT, hardware programming and blogging. Below is a list of his books:
John Slavio Special
 
INTRODUCTION
 
Welcome to this book on Deep Learning and Neural Networks. We're going to be diving into what neural networks are, what the current neural networks out there do, with an API. Once we go over how everything works and how each of these new technologies work, we will also go over the many different applications that can be applied to general life and business due to the creation of neural networks. Now I want you to realize that neural networks are not a complicated topic but it may feel like a complicated topic.
There have been a lot of news stories about how there are going to be self-driving cars, machines that make their own products, and many other different applications of neural networks that make it sound like a vastly complicated machine. However, the tool of the neural network is a very simple tool. When you hear about the applications that are being created that utilize neural networks, you are actually hearing about the amount of work that went behind making a neural network do something that's complicated but not a complicated neural network. Neural networks are extremely easy to understand as you will find throughout this book but the problem is that peopl ............

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