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A gentle journey through the mathematics of neural networks, and making your own using the Python computer language. Neural networks are a key element of deep learning and artificial intelligence, which today is capable of some truly impressive feats.
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A step-by-step visual journey through the mathematics of neural networks, and making your own using Python and Tensorflow.
Published August 29th 2017 by Blue Windmill Media
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Artificial Neural Networks and Deep Learning 109 books — 24 voters
Data Science - Learning About Data 108 books — 78 voters
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If you were ever wondering how you were going to build your own neural network, well look now further. This book, Make Your Own Neural Network: An In-Depth Visual Introduction for Beginners by Michael Taylor has all the information you need to tackle this project. While it is probably helpful to know some higher level math to undertake this process, such as calculus, the visual presentation in this book makes the process seemingly easier to understand and very approachable. Virtually every page...more
great at explaining the math inside a NN
Oct 17, 2017Amanda rated it liked it
I feel like I should preface this by saying I am the past person you would find reading a tech book. My husband is the IT guy and I'm happy to leave anything computer/technology related to him. In fact I'm beginning to think that's the secret to our marriage but I digress. Going in a novice, this book still managed to teach me something without making me feel like a fool. The writing is simple and explanatory without being boring. Diagrams throughout the book are surprisingly intelligible and un...more
Sep 12, 2017Jimmy Jefferson rated it really liked it
A technical description of building a neural network
Michael Taylor does a good job of breaking down the neural network by individual pieces then assembling each piece for you as you understand it's place in the network. There are some math formulas in the completion of building a neural network. That may sound like too much but Michael does a great job of breaking down the formula and explaining why it is used and what function it serves. Each part of building a free thinking network is explain...more
Michael Taylor does a good job of breaking down the neural network by individual pieces then assembling each piece for you as you understand it's place in the network. There are some math formulas in the completion of building a neural network. That may sound like too much but Michael does a great job of breaking down the formula and explaining why it is used and what function it serves. Each part of building a free thinking network is explain...more
Oct 13, 2017Rachel Kester rated it really liked it
If you’re looking for a way to learn about neural networks and want to make your own, you’ll definitely want to check out this book. Michael Taylor illustrates through words and pictures how neural networks work and how you can use Python and Tensorflow to help create your own.
The book is 316 pages which means you’ll need to invest a little time into reading it. While it is intended for beginners, it often talks about certain aspects about neural networks that you should be familiar with before...more
The book is 316 pages which means you’ll need to invest a little time into reading it. While it is intended for beginners, it often talks about certain aspects about neural networks that you should be familiar with before...more
Very informative and easy to understand
Before I started this book all of this neural network stuff was wayyy above my head. Michael Taylor did an amazing job of dumbing it down for me and explaining in intricate detail how Neural Networks work. I wasn’t sure if find a book that would teach me how they work and how to build one and make it easy all easy for someone who is sometimes technology challenged to fully understand, but I really did in this book! He lays it all out in layman’s terms so I...more
Before I started this book all of this neural network stuff was wayyy above my head. Michael Taylor did an amazing job of dumbing it down for me and explaining in intricate detail how Neural Networks work. I wasn’t sure if find a book that would teach me how they work and how to build one and make it easy all easy for someone who is sometimes technology challenged to fully understand, but I really did in this book! He lays it all out in layman’s terms so I...more
Make Your Own Neural Network: An In-depth Visual Introduction For Beginners, written by Michael Taylor contains some extremely complicated math formulas that are just above my comprehension. I was able to follow along and get a better understanding of how networks function because there are many visual diagrams and formulas that are drawn out to simplify the explanation. Inevitably one will need to know calculus and other higher math to achieve a goal of making your own neural network. It is how...more
Make Your Own Neural Network was a very informative guide that explained how AI works as well as how email filters work to block out spam. There were also diagrams and the steps and formulas were explained in an easy to understand way. Each step was thoroughly explained and you can tell that great care was taken in writing this book.
I read this book because I enjoy learning new things and being able to implement them in my life. It’s easy to see that Michael had beginners in mind which was appr...more
I read this book because I enjoy learning new things and being able to implement them in my life. It’s easy to see that Michael had beginners in mind which was appr...more
This is the last sort of book I would have ever chosen to read, but it was helpful! I have applied to a few jobs where one of the requirements was experience with 'Python.' I didn't even know what it was until I read this book. As a complete beginner, the book was well written and easy to understand. It does help if you have a higher level math understanding but I was able to grasp many of the concepts nonetheless. The book taught me about neural networks without being condescending or amateuris...more
Nov 11, 2018Istvan Szabo rated it really liked it
A very decent reading in case you have enough mathematical background but never ever worked much with neural networks. It will give you a nice theoretical help on how to start your first experimental project and on how to continue further down the road in order to become the next NN-superman. Not necessarily sufficient to become a real-life data scientist with an NN specialization.
Dec 24, 2018Jose Gutierrez rated it really liked it
Excelente libro
Es una excelente introducción. A diferencia de otros libros introductorios maneja muy bien el balance entre ser demasiado detallado o presentar ejemplos donde uno solamente se queda con el ejemplo sin poder penetrar en los conceptos.
Es una excelente introducción. A diferencia de otros libros introductorios maneja muy bien el balance entre ser demasiado detallado o presentar ejemplos donde uno solamente se queda con el ejemplo sin poder penetrar en los conceptos.
A complete and meticulous guide providing a thorough introduction to Neural Networks - the book claimed to be for beginners, I think it reaches an intermediate level since there are some frameworks also introduced. Remember to polish your algebra, calculus and math skills if they are a bit rusty.
Neural Network explained in simple way, author has done great job in making complex neural networks easy to understand.
This was truly an interesting book. I normally read romance and young adult books. But this book was suggested to me. After reading the synopsis I thought that this book may help me. And I am so glad that I read it. It is so full of insightful information. It is extremely well written and very easy to understand.
The book says it's about creating your own déjà vu so to speak, it was more like creating your own destiny. Visualize what you want not what you do not. At least that is what I got out...more
The book says it's about creating your own déjà vu so to speak, it was more like creating your own destiny. Visualize what you want not what you do not. At least that is what I got out...more
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Michael Taylor majored in English at Bloomsburg University, Pennsylvania, and also earned his Master’s degree in Education from the same university.
“Machine learning is the science of getting computers to act without being explicitly programmed,” — 0 likes
![Make Your Own Neural Network Make Your Own Neural Network](/uploads/1/2/4/8/124836272/276405664.jpg)
“Machine learning is all about algorithms - or rules - that are used to work with data and make predictions.” — 0 likes
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