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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Kim, Phil (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berkeley, CA : Apress : Imprint: Apress, 2017.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 02636nam a22004455i 4500
001 978-1-4842-2845-6
003 DE-He213
005 20170630022208.0
007 cr nn 008mamaa
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020 |a 9781484228456  |9 978-1-4842-2845-6 
024 7 |a 10.1007/978-1-4842-2845-6  |2 doi 
040 |d GrThAP 
100 1 |a Kim, Phil.  |e author. 
245 1 0 |a MATLAB Deep Learning  |h [electronic resource] :  |b With Machine Learning, Neural Networks and Artificial Intelligence /  |c by Phil Kim. 
264 1 |a Berkeley, CA :  |b Apress :  |b Imprint: Apress,  |c 2017. 
300 |a XVII, 151 p. 95 illus., 20 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
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 0 |a Computer science. 
650 0 |a Computer programming. 
650 0 |a Programming languages (Electronic computers). 
650 0 |a Mathematical logic. 
650 0 |a Artificial intelligence. 
650 1 4 |a Computer Science. 
650 2 4 |a Big Data. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Mathematical Logic and Formal Languages. 
650 2 4 |a Programming Languages, Compilers, Interpreters. 
650 2 4 |a Programming Techniques. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781484228449 
856 4 0 |u http://dx.doi.org/10.1007/978-1-4842-2845-6  |z Full Text via HEAL-Link 
912 |a ZDB-2-CWD 
950 |a Professional and Applied Computing (Springer-12059)