书目名称 | MATLAB Deep Learning | 副标题 | With Machine Learnin | 编辑 | Phil Kim | 视频video | | 概述 | 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 neura | 图书封面 |  | 描述 | 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.. | 出版日期 | Book 2017 | 关键词 | Deep Learning; machine learning; AI; artificial inteligence; big data; analytics; MATLAB; programming | 版次 | 1 | doi | https://doi.org/10.1007/978-1-4842-2845-6 | isbn_softcover | 978-1-4842-2844-9 | isbn_ebook | 978-1-4842-2845-6 | copyright | Phil Kim 2017 |
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