國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

MATLAB deep learningwith machine lea...

Kim, Phil.

MATLAB deep learningwith machine learning, neural networks and artificial intelligence /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	MATLAB deep learningby Phil Kim.
其他題名:	with machine learning, neural networks and artificial intelligence /
作者:	Kim, Phil.
出版者:	Berkeley, CA :Apress :2017.
面頁冊數:	xvii, 151 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Machine learning.
電子資源:	http://dx.doi.org/10.1007/978-1-4842-2845-6
ISBN:	9781484228456$q(electronic bk.)

MATLAB deep learningwith machine learning, neural networks and artificial intelligence /
Kim, Phil.

MATLAB deep learningwith machine learning, neural networks and artificial intelligence /[electronic resource] :by Phil Kim. - Berkeley, CA :Apress :2017. - xvii, 151 p. :ill., digital ;24 cm.

1. Machine Learning -- 2. Neural Network -- 3. Training of Multi-Layer Neural Network -- 4. Neural Network and Classification -- 5. Deep Learning -- 6. Convolutional Neural Network.

Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolutional neural networks. In a blend of fundamentals and applications, MATLAB Deep Learning employs MATLAB as the underlying programming language and tool for the examples and case studies in this book. With this book, you'll be able to tackle some of today's real world big data, smart bots, and other complex data problems. You'll see how deep learning is a complex and more intelligent aspect of machine learning for modern smart data analysis and usage. You will: Use MATLAB for deep learning Discover neural networks and multi-layer neural networks Work with convolution and pooling layers Build a MNIST example with these layers.

ISBN: 9781484228456$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-2845-6doiSubjects--Uniform Titles:

MATLAB.
Subjects--Topical Terms:

188639
Machine learning.

LC Class. No.: TA345.5.M42

Dewey Class. No.: 511.8

MATLAB deep learningwith machine learning, neural networks and artificial intelligence /
LDR:01938nmm a2200289 a 4500 001 518028
003 DE-He213
005 20180110100821.0
006 m d
007 cr nn 008maaau
008 180316s2017 cau s 0 eng d
020 $a 9781484228456$q(electronic bk.)
020 $a 9781484228449$q(paper)
024 7 $a 10.1007/978-1-4842-2845-6 $2 doi
035 $a 978-1-4842-2845-6
040 $a GP $c GP
041 0 $a eng
050 4 $a TA345.5.M42
082 0 4 $a 511.8 $2 23
090 $a TA345.5.M42 $b K49 2017
100 1 $a Kim, Phil. $3 787974
245 1 0 $a MATLAB deep learning $h [electronic resource] : $b with machine learning, neural networks and artificial intelligence / $c by Phil Kim.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2017.
300 $a xvii, 151 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1. Machine Learning -- 2. Neural Network -- 3. Training of Multi-Layer Neural Network -- 4. Neural Network and Classification -- 5. Deep Learning -- 6. Convolutional Neural Network.
520 $a Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolutional neural networks. In a blend of fundamentals and applications, MATLAB Deep Learning employs MATLAB as the underlying programming language and tool for the examples and case studies in this book. With this book, you'll be able to tackle some of today's real world big data, smart bots, and other complex data problems. You'll see how deep learning is a complex and more intelligent aspect of machine learning for modern smart data analysis and usage. You will: Use MATLAB for deep learning Discover neural networks and multi-layer neural networks Work with convolution and pooling layers Build a MNIST example with these layers.
630 0 0 $a MATLAB. $3 181993
650 0 $a Machine learning. $3 188639
650 0 $a Neural networks (Computer science) $3 181982
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Big Data. $3 760530
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
650 2 4 $a Mathematical Logic and Formal Languages. $3 275383
650 2 4 $a Programming Languages, Compilers, Interpreters. $3 274102
650 2 4 $a Programming Techniques. $3 274470
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-1-4842-2845-6
950 $a Professional and Applied Computing (Springer-12059)