What do you think?
Rate this book
Neural Networks: A Practical Guide for Understanding and Programming Neural Networks and Useful Insights for Inspiring Reinvention
☆★Buy the Paperback version of this book, and get the Kindle eBook version included for FREE★☆
If you are looking for a complete beginners guide to learn neural networks with examples, in just a few hours, then you need to continue reading.
Have you noticed the increasing prevalence of software that tries to learn from you? More and more, we are interacting with machines and platforms that try to predict what we are looking for. From movie and television show recommendations on Netflix based on your taste to the keyboard on your smartphone trying to predict and recommend the next word you may want to type, it's becoming obvious that machine learning will definitely be part of our future.
If you are interested in learning more about the computer programs of tomorrow then, Understanding Neural Networks – A Practical Guide for Understanding and Programming Neural Networks and Useful Insights for Inspiring Reinvention is the book you have been waiting for.
★★ Grab your copy today and learn ★★
♦ The history of neural networks and the way modern neural networks work
♦ How deep learning works
♦ The different types of neural networks
♦ The ability to explain a neural network to others, while simultaneously being able to build on this knowledge without being COMPLETELY LOST
♦ How to build your own neural network!
♦ An effective technique for hacking into a neural network
♦ Some introductory advice for modifying parameters in the code-based environment
♦ And much more...
You'll be an Einstein in no time! And even if you are already up to speed on the topic, this book has the power to illustrate what a neural network is in a way that is capable of inspiring new approaches and technical improvements. The world can't wait to see what you can do!
Most of all, this book will feed the abstract reasoning region of your mind so that you are able to theorize and invent new types and styles of machine learning. So, what are you waiting for? Scroll up and click the buy now button to learn everything you need to know in no time!
If you are looking for a complete beginners guide to learn neural networks with examples, in just a few hours, then you need to continue reading.
Have you noticed the increasing prevalence of software that tries to learn from you? More and more, we are interacting with machines and platforms that try to predict what we are looking for. From movie and television show recommendations on Netflix based on your taste to the keyboard on your smartphone trying to predict and recommend the next word you may want to type, it's becoming obvious that machine learning will definitely be part of our future.
If you are interested in learning more about the computer programs of tomorrow then, Understanding Neural Networks – A Practical Guide for Understanding and Programming Neural Networks and Useful Insights for Inspiring Reinvention is the book you have been waiting for.
★★ Grab your copy today and learn ★★
♦ The history of neural networks and the way modern neural networks work
♦ How deep learning works
♦ The different types of neural networks
♦ The ability to explain a neural network to others, while simultaneously being able to build on this knowledge without being COMPLETELY LOST
♦ How to build your own neural network!
♦ An effective technique for hacking into a neural network
♦ Some introductory advice for modifying parameters in the code-based environment
♦ And much more...
You'll be an Einstein in no time! And even if you are already up to speed on the topic, this book has the power to illustrate what a neural network is in a way that is capable of inspiring new approaches and technical improvements. The world can't wait to see what you can do!
Most of all, this book will feed the abstract reasoning region of your mind so that you are able to theorize and invent new types and styles of machine learning. So, what are you waiting for? Scroll up and click the buy now button to learn everything you need to know in no time!
89 pages, Kindle Edition
Published August 12, 2018
14 people are currently reading
6 people want to read
About the author
Steven Cooper
48 books50 followersSteven Cooper is a freelance writer, producer, and the author of three previous novels. A former television reporter, he has received multiple Emmy awards and nominations, a national Edward R. Murrow Award, and many honors from the Associated Press. He taught writing at Rollins College (Winter Park, FL) from 2007 to 2012. He currently lives in Atlanta.
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
Displaying 1 - 2 of 2 reviews
May 3, 2019
It took me forever to finish it but I finally did it today. It’s a great book for beginners in neural networks, but even there you might stumble upon some stones along the way.
For example, everything was smooth and easy until I got to node activation chapter and there was a Sigmoid function used. While this is not completely foreign to me, I spent some time catching up with the book in order to fully understand it.
For CS majors I’d recommend to read statistics for beginners first.
For example, everything was smooth and easy until I got to node activation chapter and there was a Sigmoid function used. While this is not completely foreign to me, I spent some time catching up with the book in order to fully understand it.
For CS majors I’d recommend to read statistics for beginners first.
January 19, 2025
Great Book for Overview
Steven takes you through the what you need to know. AI is coming and decision makers better understand the basics to help you implement smoothly.
Steven takes you through the what you need to know. AI is coming and decision makers better understand the basics to help you implement smoothly.
Displaying 1 - 2 of 2 reviews