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A step-by-step 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. Yet too few really understand how neural networks actually work.
This guide will take you on a fun and unhurried journey, starting from very simple ideas, and gradually building up an understanding of how neural networks work. You won’t need any mathematics beyond secondary school, and an accessible introduction to calculus
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Book ID Asin: 1530826608
Book Title: Make Your Own Neural Network
Book Author: Tariq Rashid
Book Format: unknownBook Price: unknown
Book Category: Books, Computers & Technology, Computer Science and unknown
Book Rating: 766 ratings
Make Your Own Neural Network by Tariq Rashid Book Review
Name: Amazon Customer
Rating: 5.0 out of 5 stars
Title: GET THIS BOOK — YOU WILL BE VERY HAPPY YOU DID!!!
Date: Reviewed in the United States 🇺🇸 on November 25, 2017
Review: Who is Tariq Rashid? As I read more and more of this book, finding the answer to this question became paramount. I’ve read a lot of books, both fiction and non-fiction. In fact, I typically read a book a week. But never have I read a text which as so clear, and concise. Such a perfect marriage of simplicity and information about the subject. I actually didn’t want to put the book down! Which is why I had to know about Mr. Rashid. It became clear to me that this man must be among the greatest teachers EVER!
What would you normally expect when you buy a book like this? Lots of math? Plenty of dry paragraphs? Definitions on every page? Theorems and proofs? Well, if you do that in this case, you will be disappointed. Instead, what you find is that you will get exactly what you need to understand the topic, and put it into practice. No more, and no less.
Mr. Rashid is an absolute master of communicating just what the reader needs to reach the point of understanding. And to get there, he uses a very simple, step-by-step approach. One that builds directly on what has gone before. No hiding the ball. No leaps in logic. Just a simple explanation that leaves no room for doubt (he works through simple examples to hammer needed points home). And at the end of the journey — and indeed, at many points along the way — where are you? I’ll tell you where: you will be saying to yourself “I understand this! I got it! I am so happy I bought this book!”
I got an inkling of what was to come when I read the appendices (e.g., about the basics of calculus). I figured the appendices in a book often tell you something about the author — what they decided to include, but not as part of the main text. When I finished them, I wondered why I never had a textbook, or even a teacher, like that? Why couldn’t everyone explain things in this manner? I know when I give a lecture I try to make things interesting and easy to understand, but I suspect I’ve never reached this level, since I’ve never seen anything like it myself. And I’ve had almost 20 years in school!
In the end, I have no doubt that I can use what I’ve learned. Indeed, I’ve got some nifty ideas about some ways to try this out, and am looking forward to doing so. So if you’re thinking that the subject might be too difficult for you, I’m here to tell you that if you’ve got high school math, and even if you don’t have a programming background, you can still do this!
The bottom line is that if you want to learn about the basics of neural networks, THIS IS THE BOOK TO BUY! Don’t even think about anything else. GET THIS BOOK!
Oh yes, so who is Mr. Rashid? He’s a man that is inspired to explain things to others. To really teach them, so that they can work to carry knowledge forward. But he is also a man that is too modest to publish anything about himself in his own books. You can read a little bit about him on amazon.com. That’s what I did. He is truly an inspiration to me. Both in building my confidence in my own ability to learn this subject, and in restoring my confidence in others — proving to me that there are still plenty of people that truly want to do something good in this world.
And Mr. Rashid, if you read this, I want you to know that you have not failed. No, you have definitely succeeded, in so many ways. Thank you for taking the time to do such great work with this book. I have never seen anything like it, and I hope you will be inspired to continue in your mission. Technical literature is not my favorite genre, not by a long shot, but in your case, I would be proud to stand first in line to buy whatever you care to write. It’s that good!
Name: Michael Augustine
Rating: 4.0 out of 5 stars
Title: Excellent introduction
Date: Reviewed in the United States 🇺🇸 on May 15, 2022
Review: The author walks through a Neural network model helping the reader build confidence about this coding process. There is so much more to learn that it is sad when the book concludes.
Name: Gary W. Pearson
Rating: 5.0 out of 5 stars
Title: Impressive
Date: Reviewed in the United States 🇺🇸 on March 10, 2022
Review: I really feel like this little book taught me a lot. Particularly the details and the ideas behind backward propagation. An amazing bargain. I spent more on the coffee and muffin than on the Kindle version of the book. I worked through the handwritten numbers example and again was impressed that such a few lines of code actually seemed to be able to read the samples.
Name: Legendary Trini
Rating: 4.0 out of 5 stars
Title: Excellent
Date: Reviewed in the United States 🇺🇸 on January 9, 2022
Review: Excellent simplification of a complicated topic. The authors writing skills and simplification of concepts is very good. I wish to see more works from him.
Name: Roger Costello
Rating: 5.0 out of 5 stars
Title: Want to enhance your skills and become super-marketable?
Date: Reviewed in the United States 🇺🇸 on May 7, 2020
Review: Are you intrigued at how people learn? Want to learn a bit about how the human brain has neurons that are connected to other neurons and in the process of sending signals between them computation and learning takes place?
Do you enjoy a bit of mathematics?
Do you appreciate authors who are able to take a complex subject and make it really easy to understand?
Have you ever dreamed about writing a program that can learn?
Have you ever wanted to write programs that weren’t just hacked together; rather, they were built upon solid mathematical principles?
Personally, I answer “yes” to all the above. (Although I am really rusty in mathematics).
This book, if read, accomplishes all the above. The book is on neural networks (a.k.a. deep learning). The book is fabulous. I cannot say enough good things about the book and the author. I knew nothing about neural networks prior to reading this book. As I said, my math skills are terribly rusty, but the author works through the math portions with tremendous patience. I am currently on page 92 and haven’t seen any programming stuff. Why? Because the author is first laying down the foundations. Then the programs will be built on top of solid concepts.
I highly, highly recommend this book.
Name: S
Rating: 5.0 out of 5 stars
Title: A pedagogical masterpiece
Date: Reviewed in the United States 🇺🇸 on February 11, 2020
Review: I cannot adequately describe my love for this book. I have several years of ML experience but decided recently to re-learn the fundamentals of neural nets for the sake of refreshing that which I have come to overlook or take for granted (this happens, seriously!). What an incredible pleasure it has been to explore this resource! The author does an amazing job of deconstructing the intuition behind neural networks and demystifies the assumptions or fears typically associated with them (probably because he avoids using jargon, which most authors do to veil their lack of understanding of subjects). Do not let past experience with neural nets engender a sense of snobbery when reading a book that might be seen as introductory — I recommend this book for people of all levels of expertise!
Any 1 star review is either by those who have purchased the Kindle version (I have not experienced this personally but from the reviews posted would advise people AGAINST purchasing it) or probably by bitter competitors. Contrary to a few acerbic comments I’ve seen, I have no affiliation with the author except for a shared love of both ML and pedagogy. Thank you, Mr. Rashid, for this truly special resource. I will be passing this along to friends and colleague with my highest recommendation!
Name: Cody
Rating: 5.0 out of 5 stars
Title: One of the best books I’ve ever read!
Date: Reviewed in the United States 🇺🇸 on September 21, 2021
Review: Most useful and best, intuitive and practical, computer book I’ve ever read.
It teaches conceptually first, then a light and intuitive math description, followed by simple and practical coding in Python with Numpy.
A demonstration at the end using you own hand written digits to test it yourself!
Code available on Github.
I learned concepts in the method of “What would be the next logical or intuitive step to take?” or “What would you do if you were trying to find a simple solution to this problem?”.
I understand Neural Networks much better now.
Thanks to the author, Tariq Rashid, for writing such an amazing book.
You’re very much appreciated
