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MATLAB deep learning : = with machin...

Kim, Phil.

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. ; : 24 cm.;
Subject:	Programming Techniques. -
ISBN:	9781484228449 (Pbk) :

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

MATLAB deep learning :with machine learning, neural networks and artificial intelligence /by Phil Kim. - Berkeley, CA :Apress :2017. - xvii, 151 p. :ill. ;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: 9781484228449 (Pbk) :NT1235Subjects--Topical Terms:

669781
Programming Techniques.

LC Class. No.: TA345.5.M42 / K49 2017

Dewey Class. No.: 511.8

MATLAB deep learning : = with machine learning, neural networks and artificial intelligence /
LDR:01541cam a2200169 a 4500 001 891213
008 180920s2017 caua 001 0 eng
020 $a 9781484228449 (Pbk) : $c NT1235
020 $a 9781484228456 (ebk.)
035 $a 978428456
040 $a GP $c GP $d CEG $c NFU
050 4 $a TA345.5.M42 $b K49 2017
082 0 4 $a 511.8 $2 23
100 1 $a Kim, Phil. $3 1149460
245 1 0 $a MATLAB deep learning : $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. ; $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.
650 2 4 $a Programming Techniques. $3 669781
650 2 4 $a Programming Languages, Compilers, Interpreters. $3 669782
650 2 4 $a Mathematical Logic and Formal Languages. $3 670059
650 2 4 $a Artificial Intelligence (incl. Robotics). $3 682894
650 2 4 $a Big Data. $3 1017136
650 1 4 $a Computer Science. $3 593922
650 0 $a Neural networks (Computer science). $3 687024
650 0 $a Machine learning. $3 561253