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MATLAB deep learning [electronic resource] : with machine learning, neural networks and artificial intelligence

MATLAB deep learning [electronic resource] : with machine learning, neural networks and artificial intelligence

Material type
E-Book(소장)
Personal Author
Kim, Phil.
Title Statement
MATLAB deep learning [electronic resource] : with machine learning, neural networks and artificial intelligence / Phil Kim.
Publication, Distribution, etc
New York :   Apress,   c2017.  
Physical Medium
1 online resource (xvii, 151 p.) : ill. (some col.).
ISBN
9781484228449 9781484228456 (e-booik)
요약
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.
General Note
Title from e-Book title page.  
Content Notes
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.
Bibliography, Etc. Note
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
Subject Added Entry-Topical Term
Machine learning. Neural networks (Computer science).
Short cut
URL
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020 ▼a 9781484228449
020 ▼a 9781484228456 (e-booik)
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245 1 0 ▼a MATLAB deep learning ▼h [electronic resource] : ▼b with machine learning, neural networks and artificial intelligence / ▼c Phil Kim.
260 ▼a New York : ▼b Apress, ▼c c2017.
300 ▼a 1 online resource (xvii, 151 p.) : ▼b ill. (some col.).
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references and index.
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.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
630 0 0 ▼a MATLAB.
650 0 ▼a Machine learning.
650 0 ▼a Neural networks (Computer science).
770 0 8 ▼i Print version: ▼a Kim, Phil. ▼t MATLAB deep learning ▼z 9781484228449 ▼w (211009) 000045942237
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=https://doi.org/10.1007/978-1-4842-2845-6
945 ▼a KLPA
991 ▼a E-Book(소장)

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/e-Book Collection/ Call Number CR 006.31 Accession No. E14018592 Availability Loan can not(reference room) Due Date Make a Reservation Service M

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