Kim MATLAB Deep Learning
1. Auflage 2017
ISBN: 978-1-4842-2845-6
Verlag: APRESS
Format: PDF
Kopierschutz: 1 - PDF Watermark
With Machine Learning, Neural Networks and Artificial Intelligence
E-Book, Englisch, 162 Seiten
Reihe: Apress Access Books
ISBN: 978-1-4842-2845-6
Verlag: APRESS
Format: PDF
Kopierschutz: 1 - PDF Watermark
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
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Use MATLAB for deep learning
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Discover neural networks and multi-layer neural networks
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Work with convolution and pooling layers
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Build a MNIST example with these layers
Those who want to learn deep learning using MATLAB. Some MATLAB experience may be useful.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Weitere Infos & Material
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.




