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MATLAB deep learningwith machine lea...

Kim, Phil.

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	MATLAB deep learningby Phil Kim.
Reminder of title:	with machine learning, neural networks and artificial intelligence /
Author:	Kim, Phil.
Published:	Berkeley, CA :Apress :2017.
Description:	xvii, 151 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Machine learning.
Online resource:	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

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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.
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