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Not really an introduction to the mathematical theory underlying neural networks but rather a walk through an example with figures of how a simple neural network is ready upwards, assigned weights and how those weights are updated under a few different learning algorithms.

Useful for a layman interested in the nuts and bolts of how neural networks operate or a programmer who might want to play effectually with neural networks for fun just only a very small pace forrard for anyone wanting to develop a real wor

Not really an introduction to the mathematical theory underlying neural networks just rather a walk through an example with figures of how a unproblematic neural network is set up upwards, assigned weights and how those weights are updated under a few dissimilar learning algorithms.

Useful for a layman interested in the basics and bolts of how neural networks operate or a programmer who might desire to play around with neural networks for fun merely only a very small step forward for anyone wanting to develop a real world use based or a firm theoretical grounding in the area. Given the disbelieve purchase price this was worthwhile for me.

The book does provide some useful pointers to other resources on the topic and the author'southward website has some excellent articles . It may well be worth getting the other books in this series if y'all are interested in this topic from a hobby perspective or are simply starting out.

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Jun 04, 2021 Vitor Freire rated it really liked information technology

Como uma introdução básica, esse livro facilita os primeiros passos no entendimento do mecanismo das redes neurais. Para mim ele atingiu os objetivos que eu tinha que era uma noção geral de qual o mecanismo matemático por trás de uma rede neural, como bone neurônios são "disparados" ou não, como a rede neural é treinada (atualização dos pesos), qual a diferença básica (em termos matemáticos) de uma rede não supervisionada de uma supervisionada. Como uma introdução básica, esse livro facilita os primeiros passos no entendimento do mecanismo das redes neurais. Para mim ele atingiu os objetivos que european union tinha que era uma noção geral de qual o mecanismo matemático por trás de uma rede neural, como bone neurônios são "disparados" ou não, como a rede neural é treinada (atualização dos pesos), qual a diferença básica (em termos matemáticos) de uma rede não supervisionada de uma supervisionada. ...more

The book falls somewhat curt of Heaton's goal of drawing an unbroken line from the target audition (algebra-expert computer programmers) to the field of study matter, but information technology was a pretty good attempt. I don't think anyone is going to fully sympathize this volume without separately studying derivatives and matrix conversions prior to reading.

But if you're into information technology, brand sure you have your Wikipedia open to assistance you unpack statements similar "The LU decomposition takes the Hessian, which is a matrix of th

The book falls somewhat brusque of Heaton's goal of drawing an unbroken line from the target audience (algebra-adept computer programmers) to the subject matter, but information technology was a pretty good endeavor. I don't remember anyone is going to fully understand this book without separately studying derivatives and matrix conversions prior to reading.

But if you're into it, make sure yous have your Wikipedia open to assist you lot unpack statements like "The LU decomposition takes the Hessian, which is a matrix of the 2d derivatives of the partial derivatives of the output of each of the weights... ...if you have never heard the term '2d derivative' before, the second derivative is the derivative of the first derivative." ...Oh, so that's it. Got it. ;)

That said, this is a skilful no-filler overview of the 'under-the-hood' math behind neural networks, describing quite well the functional advantages of various car learning paradigms.

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Wished the volume had psuedo code to explain everything. Does a pretty good job, but I had to broaden the textile for back propogation.

Good overview of the mathematics backside Neural Networks. Much improve than most books I take read on it. For a more broad overview, I propose reading the user guide for Encog. Yes, the user guide to a framework is good enough to larn from...

This book generally lives up to its description of beingness attainable to those with highschool math and whom are actively in CS. It served every bit a smashing reintroduction to certain math equations for me and to be honest a bit nostalgic. At times however in that location are spikes in the difficulty of whats covered. Dont make this the first book on Neural Networks you read, simply make sure its on of them.

Jeff done a great job on elaborate the complexity of Math in Artificial Neural Network, especially for someone who barely know what Neural Network is. He explain why certain formula exists and why one is ameliorate to certain cases than the other.

It was ok. The book was well written and does what it advertises.
I specially liked the self organizing maps chapter.

Aug 06, 2015 Marco rated it liked it

Not a bad introduction for programmers willing to get a deeper mathematical base. The examples are instructive and well-grounded.

สำหรับคนที่สนใจเรียนเกี่ยวกับ Neural Networks แต่อ่อนคณิตศาสตร์ โดยเฉพาะ Algebra และ Calculus หนังสือเล่มนี้ปูพื้นฐานและอธิบายในแบบภาษาที่เข้าใจง่ายมาก