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Introduction to deep learning using ...

Beysolow, Taweh, II.

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
杜威分類號:	006.31
書名/作者:	Introduction to deep learning using R : : a step-by-step guide to learning and implementing deep learning models using R // Taweh Beysolow II.
作者:	Beysolow, Taweh, II.
出版者:	[Berkeley, Calif.?] : : Apress,, c2017.
面頁冊數:	xix, 227 p. : : ill. ;; 24 cm.
附註:	Includes index.
標題:	Machine learning.
標題:	Big data.
標題:	R (Computer program language)
ISBN:	9781484227336 (pbk.) :
內容註:	Introduction to deep learning -- Mathematical review -- A review of optimization and machine learning -- Single and multilayer perceptron models -- Convolutional neural networks (CNNs) -- Recurrent neural networks (RNNs) -- Autoencoders, restricted boltzmann machines, and deep belief networks -- Experimental design and heuristics -- Hardware and software suggestions -- Machine learning example problems -- Deep learning and other example problems -- Closing statements.

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

Introduction to deep learning using R :a step-by-step guide to learning and implementing deep learning models using R /Taweh Beysolow II. - [Berkeley, Calif.?] :Apress,c2017. - xix, 227 p. :ill. ;24 cm. - For professionals by professionals. - Books for professionals by professionals..

Includes index.

Introduction to deep learning -- Mathematical review -- A review of optimization and machine learning -- Single and multilayer perceptron models -- Convolutional neural networks (CNNs) -- Recurrent neural networks (RNNs) -- Autoencoders, restricted boltzmann machines, and deep belief networks -- Experimental design and heuristics -- Hardware and software suggestions -- Machine learning example problems -- Deep learning and other example problems -- Closing statements.

ISBN: 9781484227336 (pbk.) :NTD 1,295

LCCN: 2017947908Subjects--Topical Terms:

202931
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 /
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