MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence - Softcover

Kim, Phil

 
9781484228449: MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence
Softcover
ISBN 10: 1484228448 ISBN 13: 9781484228449
Verlag: Apress, 2017

Inhaltsangabe

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.

What You'll Learn
  • 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
Who This Book Is For

Those who want to learn deep learning using MATLAB. Some MATLAB experience may be useful.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

Phil Kim, PhD is an experienced MATLAB programmer and user.  He also works with algorithms of large data sets drawn from AI, machine learning.  He has worked at Korea Aerospace Research Institute as a Senior Researcher. There, his main task was to develop autonomous flight algorithm and onboard software for unmanned aerial vehicle. An on-screen keyboard program named 'Clickey' was developed by him during his period in PhD program and served as a bridge to bring the author currently to his current assignment as a Senior Research Officer at National Rehabilitation Research Institute of Korea.

Von der hinteren Coverseite

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

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Apress
Erscheinungsdatum
2017
Sprache
Englisch
ISBN 10 
1484228448
ISBN 13 
9781484228449
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
172
Kontakt zum Hersteller
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Deutschland

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