MATLAB deep learning : With machine learning, neural networks and artificial intelligence

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 MA...

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Bibliografske podrobnosti
Glavni avtor: Phil Kim
Format: Printed Book
Izdano: Apress 2017
Teme:
MATLAB. Machine learning. Neural networks (Computer science)
LEADER 01450nam a22001697a 4500
999 |c 30284  |d 30284 
020 |a 9781484240526 
082 |a 005.72 KIM-M 
100 |a Phil Kim 
245 |a  MATLAB deep learning : With machine learning, neural networks and artificial intelligence 
260 |b Apress  |c 2017 
300 |a  xvii, 151 pages. : illustrations, 24 cm. 
505 |a  1. Machine Learning2. Neural Network3. Training of Multi-Layer Neural Network4. Neural Network and Classification5. Deep Learning6. 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.  
650 |a  MATLAB. Machine learning. Neural networks (Computer science) 
942 |c BK 
952 |0 0  |1 0  |4 0  |6 005_720000000000000_KIMM  |7 0  |9 33049  |a DCB  |b DCB  |d 2019-04-25  |l 1  |o 005.72 KIM-M  |p DCB3727  |r 2019-04-25  |s 2019-04-25  |w 2019-04-25  |y BK 

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