Kniha MATLAB Deep Learning Phil Kim

MATLAB Deep Learning

Autor: Phil Kim
Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: APress
Dostupnost: Skladem u dodavatele
Odesíláme za 5-8 dnů
1 342
Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start...

Informace o knize

Autor
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2017
Stránek
151
EAN
9781484228449
ISBN
1484228448
Enbook ID
16187338
Vydavatel
Hmotnost
258
Rozměry
166 x 234 x 10

Kompletní popis

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 LearnUse 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.

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