MATLAB Deep Learning

With Machine Learning, Neural Networks and Artificial Intelligence

Phil Kim (Autor)

Buch | Softcover

151 Seiten

2017 | 1st ed.
Apress (Verlag)
978-1-4842-2844-9 (ISBN)

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Starting with machine learning fundamentals, this book moves on to neural networks, deep learning, and convolutional neural networks, using MATLAB as the underlying programming language and tool for examples and case studies in this book to tackle some of today's real world big data, smart bots, and other complex data problems.

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.

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.

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.

Erscheinungsdatum	30.06.2017
Zusatzinfo	20 Illustrations, color; 75 Illustrations, black and white; XVII, 151 p. 95 illus., 20 illus. in color.
Verlagsort	Berkley
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Mathematik / Informatik ► Informatik ► Netzwerke
	Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	AI • Analytics • artificial inteligence • Big Data • Deep learning • machine learning • MATLAB • programming
ISBN-10	1-4842-2844-8 / 1484228448
ISBN-13	978-1-4842-2844-9 / 9781484228449
Zustand	Neuware