MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence (Paperback)
暫譯: MATLAB 深度學習：機器學習、神經網絡與人工智慧
Phil Kim
- 出版商: Apress
- 出版日期: 2017-06-15
- 定價: $1,960
- 售價: 9.0 折 $1,764
- 語言: 英文
- 頁數: 172
- 裝訂: Paperback
- ISBN: 1484228448
- ISBN-13: 9781484228449
-
相關分類:
DeepLearning、Matlab
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相關主題
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)
開始使用 MATLAB 進行深度學習和人工智慧的深入入門書籍。在這本書中，您將從機器學習的基本原理開始，然後進入神經網絡、深度學習，接著是卷積神經網絡。MATLAB 深度學習 在基本原理和應用之間取得平衡，使用 MATLAB 作為本書示例和案例研究的底層程式語言和工具。
透過這本書，您將能夠解決當今現實世界中的大數據、智能機器人及其他複雜數據問題。您將看到深度學習是機器學習的一個複雜且更智能的方面，適用於現代智能數據分析和使用。
您將學到什麼
- 使用 MATLAB 進行深度學習
- 了解神經網絡和多層神經網絡
- 處理卷積層和池化層
- 使用這些層構建 MNIST 示例
本書適合誰
希望使用 MATLAB 學習深度學習的人。具備一些 MATLAB 經驗將會有所幫助。
