語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Machine learning with the Raspberry ...
~
Norris, Donald J.
Machine learning with the Raspberry Piexperiments with data and computer vision /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Machine learning with the Raspberry Piby Donald J. Norris.
其他題名:
experiments with data and computer vision /
作者:
Norris, Donald J.
出版者:
Berkeley, CA :Apress :2020.
面頁冊數:
ix, 568 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Machine learning.
電子資源:
https://doi.org/10.1007/978-1-4842-5174-4
ISBN:
9781484251744$q(electronic bk.)
Machine learning with the Raspberry Piexperiments with data and computer vision /
Norris, Donald J.
Machine learning with the Raspberry Pi
experiments with data and computer vision /[electronic resource] :by Donald J. Norris. - Berkeley, CA :Apress :2020. - ix, 568 p. :ill., digital ;24 cm.
Chapter 1: Introduction to Machine Learning (ML) with the Raspberry Pi (RasPi) -- Chapter 2: Exploration of ML data models: Part 1 -- Chapter 3: Exploration of ML data models: Part 2 -- Chapter 4: Preparation for Deep Learning -- Chapter 5: Practical deep learning ANN demonstrations -- Chapter 6: CNN demonstrations -- Chapter 7: Predictions using ANNs and CNNs -- Chapter 8: Predictions using CNNs and MLPs for medical research -- Chapter 9: Reinforcement Learning.
Using the Pi Camera and a Raspberry Pi board, expand and replicate interesting machine learning (ML) experiments. This book provides a solid overview of ML and a myriad of underlying topics to further explore. Non-technical discussions temper complex technical explanations to make the hottest and most complex topic in the hobbyist world of computing understandable and approachable. Machine learning, also commonly referred to as deep learning (DL), is currently being integrated into a multitude of commercial products as well as widely being used in industrial, medical, and military applications. It is hard to find any modern human activity, which has not been "touched" by artificial intelligence (AI) applications. Building on the concepts first presented in Beginning Artificial Intelligence with the Raspberry Pi, you'll go beyond simply understanding the concepts of AI into working with real machine learning experiments and applying practical deep learning concepts to experiments with the Pi board and computer vision. What you learn with Machine Learning with the Raspberry Pi can then be moved on to other platforms to go even further in the world of AI and ML to better your hobbyist or commercial projects.
ISBN: 9781484251744$q(electronic bk.)
Standard No.: 10.1007/978-1-4842-5174-4doiSubjects--Topical Terms:
188639
Machine learning.
LC Class. No.: Q325.5 / .N677 2020
Dewey Class. No.: 006.31
Machine learning with the Raspberry Piexperiments with data and computer vision /
LDR
:02705nmm a2200325 a 4500
001
574385
003
DE-He213
005
20200324101847.0
006
m d
007
cr nn 008maaau
008
201007s2020 cau s 0 eng d
020
$a
9781484251744$q(electronic bk.)
020
$a
9781484251737$q(paper)
024
7
$a
10.1007/978-1-4842-5174-4
$2
doi
035
$a
978-1-4842-5174-4
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
Q325.5
$b
.N677 2020
072
7
$a
UK
$2
bicssc
072
7
$a
COM067000
$2
bisacsh
072
7
$a
UK
$2
thema
082
0 4
$a
006.31
$2
23
090
$a
Q325.5
$b
.N853 2020
100
1
$a
Norris, Donald J.
$3
787967
245
1 0
$a
Machine learning with the Raspberry Pi
$h
[electronic resource] :
$b
experiments with data and computer vision /
$c
by Donald J. Norris.
260
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2020.
300
$a
ix, 568 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
Chapter 1: Introduction to Machine Learning (ML) with the Raspberry Pi (RasPi) -- Chapter 2: Exploration of ML data models: Part 1 -- Chapter 3: Exploration of ML data models: Part 2 -- Chapter 4: Preparation for Deep Learning -- Chapter 5: Practical deep learning ANN demonstrations -- Chapter 6: CNN demonstrations -- Chapter 7: Predictions using ANNs and CNNs -- Chapter 8: Predictions using CNNs and MLPs for medical research -- Chapter 9: Reinforcement Learning.
520
$a
Using the Pi Camera and a Raspberry Pi board, expand and replicate interesting machine learning (ML) experiments. This book provides a solid overview of ML and a myriad of underlying topics to further explore. Non-technical discussions temper complex technical explanations to make the hottest and most complex topic in the hobbyist world of computing understandable and approachable. Machine learning, also commonly referred to as deep learning (DL), is currently being integrated into a multitude of commercial products as well as widely being used in industrial, medical, and military applications. It is hard to find any modern human activity, which has not been "touched" by artificial intelligence (AI) applications. Building on the concepts first presented in Beginning Artificial Intelligence with the Raspberry Pi, you'll go beyond simply understanding the concepts of AI into working with real machine learning experiments and applying practical deep learning concepts to experiments with the Pi board and computer vision. What you learn with Machine Learning with the Raspberry Pi can then be moved on to other platforms to go even further in the world of AI and ML to better your hobbyist or commercial projects.
650
0
$a
Machine learning.
$3
188639
650
0
$a
Raspberry Pi (Computer)
$3
670784
650
1 4
$a
Hardware and Maker.
$3
760520
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
856
4 0
$u
https://doi.org/10.1007/978-1-4842-5174-4
950
$a
Professional and Applied Computing (Springer-12059)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000180651
電子館藏
1圖書
電子書
EB Q325.5 .N853 2020 2020
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
https://doi.org/10.1007/978-1-4842-5174-4
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入