東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Neural networks for electronics hobb...

McKeon, Richard.

Linked to FindBook

Google Book

Amazon

博客來

Neural networks for electronics hobbyists = a non-technical project-based introduction /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Neural networks for electronics hobbyists/ by Richard McKeon.
Reminder of title:	a non-technical project-based introduction /
Author:	McKeon, Richard.
Published:	Berkeley, CA :Apress : : 2018.,
Description:	xiv, 139 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1: Biological Neural Networks -- Chapter 2: Implementing Neural Networks -- Chapter 3: Electronic Components -- Chapter 4: Building the Network -- Chapter 5: Training with Back Propagation -- Chapter 6: Training on Other Functions -- Chapter 7: Where Do We Go from Here? -- Appendix A: Nueral Network Software Simbrain -- Appendix B: Resources.
Contained By:	Springer eBooks
Subject:	Neural networks (Computer science) - Popular works. - Design and construction -
Online resource:	http://dx.doi.org/10.1007/978-1-4842-3507-2
ISBN:	9781484235072

Neural networks for electronics hobbyists = a non-technical project-based introduction /
McKeon, Richard.

Neural networks for electronics hobbyistsa non-technical project-based introduction /[electronic resource] :by Richard McKeon. - Berkeley, CA :Apress :2018. - xiv, 139 p. :ill., digital ;24 cm.

Chapter 1: Biological Neural Networks -- Chapter 2: Implementing Neural Networks -- Chapter 3: Electronic Components -- Chapter 4: Building the Network -- Chapter 5: Training with Back Propagation -- Chapter 6: Training on Other Functions -- Chapter 7: Where Do We Go from Here? -- Appendix A: Nueral Network Software Simbrain -- Appendix B: Resources.

Learn how to implement and build a neural network with this non-technical, project-based book as your guide. As you work through the chapters, you'll build an electronics project, providing a hands-on experience in training a network. There are no prerequisites here and you won't see a single line of computer code in this book. Instead, it takes a hardware approach using very simple electronic components. You'll start off with an interesting non-technical introduction to neural networks, and then construct an electronics project. The project isn't complicated, but it illustrates how back propagation can be used to adjust connection strengths or "weights" and train a network. By the end of this book, you'll be able to take what you've learned and apply it to your own projects. If you like to tinker around with components and build circuits on a breadboard, Neural Networks for Electronics Hobbyists is the book for you.

ISBN: 9781484235072

Standard No.: 10.1007/978-1-4842-3507-2doiSubjects--Topical Terms:

3309462
Neural networks (Computer science)
--Design and construction--Popular works.

LC Class. No.: QA76.87

Dewey Class. No.: 006.32

Neural networks for electronics hobbyists = a non-technical project-based introduction /
LDR:02203nmm a2200289 a 4500 001 2137267
003 DE-He213
005 20180410155505.0
006 m d
007 cr nn 008maaau
008 181117s2018 cau s 0 eng d
020 $a 9781484235072 $q (electronic bk.)
020 $a 9781484235065 $q (paper)
024 7 $a 10.1007/978-1-4842-3507-2 $2 doi
035 $a 978-1-4842-3507-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.87
082 0 4 $a 006.32 $2 23
090 $a QA76.87 $b .M157 2018
100 1 $a McKeon, Richard. $3 3309461
245 1 0 $a Neural networks for electronics hobbyists $h [electronic resource] : $b a non-technical project-based introduction / $c by Richard McKeon.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2018.
300 $a xiv, 139 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 1: Biological Neural Networks -- Chapter 2: Implementing Neural Networks -- Chapter 3: Electronic Components -- Chapter 4: Building the Network -- Chapter 5: Training with Back Propagation -- Chapter 6: Training on Other Functions -- Chapter 7: Where Do We Go from Here? -- Appendix A: Nueral Network Software Simbrain -- Appendix B: Resources.
520 $a Learn how to implement and build a neural network with this non-technical, project-based book as your guide. As you work through the chapters, you'll build an electronics project, providing a hands-on experience in training a network. There are no prerequisites here and you won't see a single line of computer code in this book. Instead, it takes a hardware approach using very simple electronic components. You'll start off with an interesting non-technical introduction to neural networks, and then construct an electronics project. The project isn't complicated, but it illustrates how back propagation can be used to adjust connection strengths or "weights" and train a network. By the end of this book, you'll be able to take what you've learned and apply it to your own projects. If you like to tinker around with components and build circuits on a breadboard, Neural Networks for Electronics Hobbyists is the book for you.
650 0 $a Neural networks (Computer science) $x Design and construction $v Popular works. $3 3309462
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Hardware and Maker. $3 3134857
650 2 4 $a Computing Methodologies. $3 830243
650 2 4 $a Computer Communication Networks. $3 775497
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-1-4842-3507-2
950 $a Professional and Applied Computing (Springer-12059)