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

자료유형

E-Book(소장)

개인저자

Kim, Phil.

서명 / 저자사항

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

발행사항

New York : Apress, c2017.

형태사항

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.

일반주기

Title from e-Book title page.

내용주기

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.

서지주기

Includes bibliographical references and index.

이용가능한 다른형태자료

Issued also as a book.

일반주제명

Machine learning. Neural networks (Computer science).

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URL

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100	1	▼a Kim, Phil.
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)

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중앙도서관

No.	소장처	청구기호	등록번호	도서상태	반납예정일	예약	서비스
No. 1	소장처 중앙도서관/e-Book 컬렉션/	청구기호 CR 006.31	등록번호 E14018592	도서상태 대출불가(열람가능)	반납예정일	예약	서비스 M

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

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