Phil Kim Kim MATLAB Deep Learning

MATLAB Deep Learning

von Phil Kim

With Machine Learning, Neural Networks and Artificial Intelligence

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Beschreibung

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:


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 LearnWho This Book Is For

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

Demonstrates how to counter real world problems found in big data, smart bots and more through practical examples Broadens your understanding of neural networks, deep learning, and convolutional neural networks Explains how to use MATLAB for deep learning

Autor*in

Phil Kim

Themen in »MATLAB Deep Learning«

Deep Learning machine learning AI artificial inteligence big data analytics MATLAB programming

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Details

ISBN: 9781484228449
Verlag: APRESS
Erscheinung: 15.06.2017

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