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MATLAB deep learning : = with machin...

Kim, Phil.

MATLAB deep learning : = with machine learning, neural networks and artificial intelligence /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	MATLAB deep learning :/ by Phil Kim.
其他題名:	with machine learning, neural networks and artificial intelligence /
作者:	Kim, Phil.
出版者:	Berkeley, CA :Apress : : 2017.,
面頁冊數:	xvii, 151 p. :ill. ; : 24 cm.;
標題:	Programming Techniques. -
ISBN:	9781484228449 (Pbk) :

MATLAB deep learning : = with machine learning, neural networks and artificial intelligence /
Kim, Phil.

MATLAB deep learning :with machine learning, neural networks and artificial intelligence /by Phil Kim. - Berkeley, CA :Apress :2017. - xvii, 151 p. :ill. ;24 cm.

1. Machine Learning -- 2. Neural Network -- 3. Training of Multi-Layer Neural Network -- 4. Neural Network and Classification -- 5. Deep Learning -- 6. Convolutional Neural Network.

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. You will: 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.

ISBN: 9781484228449 (Pbk) :NT1235Subjects--Topical Terms:

669781
Programming Techniques.

LC Class. No.: TA345.5.M42 / K49 2017

Dewey Class. No.: 511.8

MATLAB deep learning : = with machine learning, neural networks and artificial intelligence /
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505 0 $a 1. Machine Learning -- 2. Neural Network -- 3. Training of Multi-Layer Neural Network -- 4. Neural Network and Classification -- 5. Deep Learning -- 6. Convolutional Neural Network.
520 $a 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. You will: 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.
650 2 4 $a Programming Techniques. $3 669781
650 2 4 $a Programming Languages, Compilers, Interpreters. $3 669782
650 2 4 $a Mathematical Logic and Formal Languages. $3 670059
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650 0 $a Neural networks (Computer science). $3 687024
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