國立虎尾科技大學 |

登入

回首頁

Introduction to deep learning using ...

SpringerLink (Online service)

Introduction to deep learning using R = a step-by-step guide to learning and implementing deep learning models using R /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Introduction to deep learning using R/ by Taweh Beysolow II.
其他題名:	a step-by-step guide to learning and implementing deep learning models using R /
作者:	Beysolow, Taweh.
出版者:	Berkeley, CA :Apress : : 2017.,
面頁冊數:	xix, 227 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Machine learning. -
電子資源:	http://dx.doi.org/10.1007/978-1-4842-2734-3
ISBN:	9781484227343

Introduction to deep learning using R = a step-by-step guide to learning and implementing deep learning models using R /
Beysolow, Taweh.

Introduction to deep learning using Ra step-by-step guide to learning and implementing deep learning models using R /[electronic resource] :by Taweh Beysolow II. - Berkeley, CA :Apress :2017. - xix, 227 p. :ill., digital ;24 cm.

Chapter 1: What is Deep Learning? -- Chapter 2: Mathematical Review -- Chapter 3: A Review of Optimization and Machine Learning -- Chapter 4: Single and Multi-Layer Perceptron Models -- Chapter 5: Convolutional Neural Networks (CNNs) -- Chapter 6: Recurrent Neural Networks (RNNs) -- Chapter 7: Autoencoders, Restricted Boltzmann Machines, and Deep Belief Networks -- Chapter 8: Experimental Design and Heuristics -- Chapter 9: Deep Learning and Machine Learning Hardware/Software Suggestions -- Chapter 10: Machine Learning Example Problems -- Chapter 11: Deep Learning and Other Example Problems -- Chapter 12: Closing Statements.

ISBN: 9781484227343

Standard No.: 10.1007/978-1-4842-2734-3doiSubjects--Topical Terms:

561253
Machine learning.

LC Class. No.: Q325.5 / .B49 2017

Dewey Class. No.: 006.31

Introduction to deep learning using R = a step-by-step guide to learning and implementing deep learning models using R /
LDR:01632nam a2200301 a 4500 001 922793
003 DE-He213
005 20170720081451.0
006 m d
007 cr nn 008maaau
008 190625s2017 cau s 0 eng d
020 $a 9781484227343 $q (electronic bk.)
020 $a 9781484227336 $q (paper)
024 7 $a 10.1007/978-1-4842-2734-3 $2 doi
035 $a 978-1-4842-2734-3
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.5 $b .B49 2017
072 7 $a KJQ $2 bicssc
072 7 $a BUS070030 $2 bisacsh
082 0 4 $a 006.31 $2 23
090 $a Q325.5 $b .B573 2017
100 1 $a Beysolow, Taweh. $3 1198635
245 1 0 $a Introduction to deep learning using R $h [electronic resource] : $b a step-by-step guide to learning and implementing deep learning models using R / $c by Taweh Beysolow II.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2017.
300 $a xix, 227 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 1: What is Deep Learning? -- Chapter 2: Mathematical Review -- Chapter 3: A Review of Optimization and Machine Learning -- Chapter 4: Single and Multi-Layer Perceptron Models -- Chapter 5: Convolutional Neural Networks (CNNs) -- Chapter 6: Recurrent Neural Networks (RNNs) -- Chapter 7: Autoencoders, Restricted Boltzmann Machines, and Deep Belief Networks -- Chapter 8: Experimental Design and Heuristics -- Chapter 9: Deep Learning and Machine Learning Hardware/Software Suggestions -- Chapter 10: Machine Learning Example Problems -- Chapter 11: Deep Learning and Other Example Problems -- Chapter 12: Closing Statements.
650 0 $a Machine learning. $3 561253
650 0 $a R (Computer program language) $3 679069
650 1 4 $a Business and Management. $2 eflch $3 934826
650 2 4 $a Big Data/Analytics. $3 1106909
650 2 4 $a Computing Methodologies. $3 640210
650 2 4 $a Programming Languages, Compilers, Interpreters. $3 669782
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-1-4842-2734-3
950 $a Business and Management (Springer-41169)

筆 0 讀者評論

多媒體

評論

新增評論分享你的心得

Export

取書館別