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MATLAB deep learning = with machine learning, neural networks and artificial intelligence /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	MATLAB deep learning/ by 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

MATLAB deep learning = with 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

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

MATLAB.
Subjects--Topical Terms:

561253
Machine learning.

LC Class. No.: TA345.5.M42

Dewey Class. No.: 511.8

MATLAB deep learning = with machine learning, neural networks and artificial intelligence /
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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.
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