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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer programming / software development Programming & scripting languages: general

• Full title: MATLAB Deep Learning
• Author: Phil Kim
• Language: English
• Binding: Paperback
• Number of pages: 151
• EAN: 9781484228449
• ISBN: 1484228448
• ID: 16187338
• Publisher: APress
• Weight: 258 g
• Dimensions: 234 × 166 × 10 mm
• Date of publishing: 15. June 2017

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