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# Make Your Own Neural Network

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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 unhur ...more

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 unhur ...more

Kindle Edition, 222 pages

Published
April 16th 2016

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After reading this (carefully) you will most likely be able to converse and talk about neural nets from an implementation point of view with other engineers.

The tone is approachable, and despite the subject, the book is a ...more

I'm a newcomer too. Thanks to the sharing from author Tariq.

Not once did I have to Google a concept since everything you need to know is provided.

Sure, there were some typos and other problems with this book. For instance, he put the calculus for gradient descent in the appendix while dedicating a section to matrix multiplication (which is more appropriate for the appendix since readers are more likely to know matrices than integral calculus).

Still, this book deserves f ...more

When training process uses epochs and other tips then recognition score is above 97%. Source code uses Math.NET matrix calculus.

All neural network ideas are from "Make Your Own Neural Network" book with Python source code https://www.goodreads.com/book/show/2...

I have decorate implemented it using lovely functional F# and other .NET Framework stuff.

F ...more

**Great intro into neural networks**

The author laid out his plan to teach the basics in a hands on approach. The progression through the material was smooth and easy too make progress. A motivated, advanced middle school student could work thru the concepts and code with perhaps a little help if he/she gets stuck.

Excellent material for a science fair project.

Extending the code to save the machine "learning" so that it can be read in instead of relearned would be useful. Also automating the image i ...more

**Excellent Introduction to Artificial Neural Networks**

Highly recommend this book. The author makes the ANN concepts very clear and easy to follow. Readers should try to duplicate the book examples to get the maximum benefit from this book. I duplicated the MNIST demonstrations using a Raspberry PiI 3 and can positively state they all work as shown. My results were identical to those discussed by the author.

Again, highly recommended.

**SHOULD**know the math.And this book kinda runs away from it.

But,let's say you wanna do something fun for a week like building an image classifier . Then , go for it . It simplifies the math and at the end you'll feel proud.

**Deep dive into neural networks with so much ease**

I have read very few (or none) books which explains the mathematics of neural networks keeping novices like me in mind. Author has meticulously broken down all the complexities into simple mathematical equations. I recommend this book to all the people who want to go beyond the black-box nature of deep learning.

Also quite concise if we subtract code samples, formulas, drawings and two appendixes (calculus and Raspberry Pi) from the 222 short Kindle pages. Really worth it as a starting point into NN.

It does a good job of explaining how a neural network works in layman's terms and how to implement it. I certainly have a better understanding of the inner workings of a neural network after reading the book.

**Excellent overview and intro to python and neural networks**

This book was just what I needed. I have formal education in computer science and mechanical engineering, I needed to learn python and neural networks. This book did exactly that. It was well thought out, clear and well paced. This author should write more texts

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