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Michael Taylor The Math of Neural Networks (Paperback)

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Last updated on May 07, 2024 18:27:02 EDTView all revisionsView all revisions

Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Book Title
The Math of Neural Networks
Publication Name
Math of Neural Networks
Title
The Math of Neural Networks
Author
Michael Taylor
Format
Trade Paperback
ISBN-10
1549893645
EAN
9781549893643
ISBN
9781549893643
Publisher
Independently Published
Genre
Computing & Internet
Release Date
04/10/2017
Release Year
2017
Language
English
Item Height
0.4in
Item Length
9in
Item Width
6in
Item Weight
10.9 Oz
Publication Year
2017
Type
Textbook
Number of Pages
167 Pages

About this product

Product Information

There are many reasons why neural networks fascinate us and have captivated headlines in recent years. They make web searches better, organize photos, and are even used in speech translation. Heck, they can even generate encryption. At the same time, they are also mysterious and mind-bending: how exactly do they accomplish these things ? What goes on inside a neural network?On a high level, a network learns just like we do, through trial and error. This is true regardless if the network is supervised, unsupervised, or semi-supervised. Once we dig a bit deeper though, we discover that a handful of mathematical functions play a major role in the trial and error process. It also becomes clear that a grasp of the underlying mathematics helps clarify how a network learns. In the following chapters we will unpack the mathematics that drive a neural network. To do this, we will use a feedforward network as our model and follow input as it moves through the network.

Product Identifiers

Publisher
Independently Published
ISBN-10
1549893645
ISBN-13
9781549893643
eBay Product ID (ePID)
239698549

Product Key Features

Author
Michael Taylor
Publication Name
Math of Neural Networks
Format
Trade Paperback
Language
English
Publication Year
2017
Type
Textbook
Number of Pages
167 Pages

Dimensions

Item Length
9in
Item Height
0.4in
Item Width
6in
Item Weight
10.9 Oz

Additional Product Features

Target Audience
Trade
Topic
Computer Science
Genre
Computers

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