語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Synthetic data for deep learning = g...
~
Gursakal, Necmi.
FindBook
Google Book
Amazon
博客來
Synthetic data for deep learning = generate synthetic data for decision making and applications with Python and R /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Synthetic data for deep learning/ by Necmi Gursakal, Sadullah Celik, Esma Birisci.
其他題名:
generate synthetic data for decision making and applications with Python and R /
作者:
Gursakal, Necmi.
其他作者:
Celik, Sadullah.
出版者:
Berkeley, CA :Apress : : 2022.,
面頁冊數:
xix, 220 p. :ill., digital ;24 cm.
內容註:
Chapter I: Introduction to Data -- Chapter 2: Synthetic Data -- Chapter 3: Synthetic Data Generation with R -- Chapter 4: GANs -- Chapter 5: Synthetic Data Generation with Python.
Contained By:
Springer Nature eBook
標題:
Machine learning. -
電子資源:
https://doi.org/10.1007/978-1-4842-8587-9
ISBN:
9781484285879
Synthetic data for deep learning = generate synthetic data for decision making and applications with Python and R /
Gursakal, Necmi.
Synthetic data for deep learning
generate synthetic data for decision making and applications with Python and R /[electronic resource] :by Necmi Gursakal, Sadullah Celik, Esma Birisci. - Berkeley, CA :Apress :2022. - xix, 220 p. :ill., digital ;24 cm.
Chapter I: Introduction to Data -- Chapter 2: Synthetic Data -- Chapter 3: Synthetic Data Generation with R -- Chapter 4: GANs -- Chapter 5: Synthetic Data Generation with Python.
Data is the indispensable fuel that drives the decision making of everything from governments, to major corporations, to sports teams. Its value is almost beyond measure. But what if that data is either unavailable or problematic to access? That's where synthetic data comes in. This book will show you how to generate synthetic data and use it to maximum effect. Synthetic Data for Deep Learning begins by tracing the need for and development of synthetic data before delving into the role it plays in machine learning and computer vision. You'll gain insight into how synthetic data can be used to study the benefits of autonomous driving systems and to make accurate predictions about real-world data. You'll work through practical examples of synthetic data generation using Python and R, placing its purpose and methods in a real-world context. Generative Adversarial Networks (GANs) are also covered in detail, explaining how they work and their potential applications. After completing this book, you'll have the knowledge necessary to generate and use synthetic data to enhance your corporate, scientific, or governmental decision making. What You Will Learn Create synthetic tabular data with R and Python Understand how synthetic data is important for artificial neural networks Master the benefits and challenges of synthetic data Understand concepts such as domain randomization and domain adaptation related to synthetic data generation.
ISBN: 9781484285879
Standard No.: 10.1007/978-1-4842-8587-9doiSubjects--Topical Terms:
533906
Machine learning.
LC Class. No.: Q325.5
Dewey Class. No.: 006.31
Synthetic data for deep learning = generate synthetic data for decision making and applications with Python and R /
LDR
:02705nmm a2200325 a 4500
001
2307133
003
DE-He213
005
20221216163724.0
006
m d
007
cr nn 008maaau
008
230421s2022 cau s 0 eng d
020
$a
9781484285879
$q
(electronic bk.)
020
$a
9781484285862
$q
(paper)
024
7
$a
10.1007/978-1-4842-8587-9
$2
doi
035
$a
978-1-4842-8587-9
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
Q325.5
072
7
$a
UYQ
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
006.31
$2
23
090
$a
Q325.5
$b
.G981 2022
100
1
$a
Gursakal, Necmi.
$3
3612052
245
1 0
$a
Synthetic data for deep learning
$h
[electronic resource] :
$b
generate synthetic data for decision making and applications with Python and R /
$c
by Necmi Gursakal, Sadullah Celik, Esma Birisci.
260
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2022.
300
$a
xix, 220 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
Chapter I: Introduction to Data -- Chapter 2: Synthetic Data -- Chapter 3: Synthetic Data Generation with R -- Chapter 4: GANs -- Chapter 5: Synthetic Data Generation with Python.
520
$a
Data is the indispensable fuel that drives the decision making of everything from governments, to major corporations, to sports teams. Its value is almost beyond measure. But what if that data is either unavailable or problematic to access? That's where synthetic data comes in. This book will show you how to generate synthetic data and use it to maximum effect. Synthetic Data for Deep Learning begins by tracing the need for and development of synthetic data before delving into the role it plays in machine learning and computer vision. You'll gain insight into how synthetic data can be used to study the benefits of autonomous driving systems and to make accurate predictions about real-world data. You'll work through practical examples of synthetic data generation using Python and R, placing its purpose and methods in a real-world context. Generative Adversarial Networks (GANs) are also covered in detail, explaining how they work and their potential applications. After completing this book, you'll have the knowledge necessary to generate and use synthetic data to enhance your corporate, scientific, or governmental decision making. What You Will Learn Create synthetic tabular data with R and Python Understand how synthetic data is important for artificial neural networks Master the benefits and challenges of synthetic data Understand concepts such as domain randomization and domain adaptation related to synthetic data generation.
650
0
$a
Machine learning.
$3
533906
650
0
$a
Computer vision.
$3
540671
700
1
$a
Celik, Sadullah.
$3
3612053
700
1
$a
Birisci, Esma.
$3
3612054
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
856
4 0
$u
https://doi.org/10.1007/978-1-4842-8587-9
950
$a
Professional and Applied Computing (SpringerNature-12059)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
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
W9448093
電子資源
11.線上閱覽_V
電子書
EB Q325.5
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入