Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Neural Networks for Electronics Hobb...
~
McKeon, Richard.
Neural Networks for Electronics Hobbyists = A Non-Technical Project-Based Introduction /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Neural Networks for Electronics Hobbyists/ by Richard McKeon.
Reminder of title:
A Non-Technical Project-Based Introduction /
Author:
McKeon, Richard.
Description:
XIV, 139 p. 73 illus.online resource. :
Contained By:
Springer Nature eBook
Subject:
Computer input-output equipment. -
Online resource:
https://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 Hobbyists
A Non-Technical Project-Based Introduction /[electronic resource] :by Richard McKeon. - 1st ed. 2018. - XIV, 139 p. 73 illus.online resource.
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:
559611
Computer input-output equipment.
LC Class. No.: TK7885-7895
Dewey Class. No.: 004
Neural Networks for Electronics Hobbyists = A Non-Technical Project-Based Introduction /
LDR
:02653nam a22003975i 4500
001
989672
003
DE-He213
005
20200702150041.0
007
cr nn 008mamaa
008
201225s2018 xxu| s |||| 0|eng d
020
$a
9781484235072
$9
978-1-4842-3507-2
024
7
$a
10.1007/978-1-4842-3507-2
$2
doi
035
$a
978-1-4842-3507-2
050
4
$a
TK7885-7895
072
7
$a
UK
$2
bicssc
072
7
$a
COM067000
$2
bisacsh
072
7
$a
UK
$2
thema
082
0 4
$a
004
$2
23
100
1
$a
McKeon, Richard.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1203113
245
1 0
$a
Neural Networks for Electronics Hobbyists
$h
[electronic resource] :
$b
A Non-Technical Project-Based Introduction /
$c
by Richard McKeon.
250
$a
1st ed. 2018.
264
1
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2018.
300
$a
XIV, 139 p. 73 illus.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
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
Computer input-output equipment.
$3
559611
650
0
$a
Artificial intelligence.
$3
559380
650
0
$a
Computer communication systems.
$3
1115394
650
1 4
$a
Hardware and Maker.
$3
1114124
650
2 4
$a
Artificial Intelligence.
$3
646849
650
2 4
$a
Computer Communication Networks.
$3
669310
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9781484235065
776
0 8
$i
Printed edition:
$z
9781484235089
776
0 8
$i
Printed edition:
$z
9781484247150
856
4 0
$u
https://doi.org/10.1007/978-1-4842-3507-2
912
$a
ZDB-2-CWD
912
$a
ZDB-2-SXPC
950
$a
Professional and Applied Computing (SpringerNature-12059)
950
$a
Professional and Applied Computing (R0) (SpringerNature-43716)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login