MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence (Paperback)

Phil Kim

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商品描述

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.
 

商品描述(中文翻譯)

深入入門MATLAB深度學習和人工智慧。本書從機器學習基礎開始,然後介紹神經網絡、深度學習,以及卷積神經網絡。在基礎知識和應用的結合中,《MATLAB深度學習》使用MATLAB作為本書中示例和案例研究的底層編程語言和工具。

通過本書,您將能夠應對當今的大數據、智能機器人和其他複雜數據問題。您將了解深度學習是現代智能數據分析和使用的複雜且更智能的機器學習方面。

本書將教您:

- 使用MATLAB進行深度學習
- 探索神經網絡和多層神經網絡
- 使用卷積和池化層
- 使用這些層構建MNIST示例

本書適合對使用MATLAB進行深度學習感興趣的讀者。具備一定的MATLAB經驗可能會有所幫助。