MATLAB Deep Learning : With Machine Learning, Neural Networks and Artificial Intelligence / by Phil Kim

By:

Kim, Phil [aut]

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerLink BücherPublisher: Berkeley, CA : Apress, 2017Description: Online-Ressource (XVII, 151 p. 95 illus., 20 illus. in color, online resource)ISBN:

9781484228456

Subject(s):

Additional physical formats: 9781484228449 | Erscheint auch als: MATLAB deep learning. Druck-Ausgabe New York : Springer, 2017. xvii, 151 SeitenDDC classification:

005.7 23

RVK: RVK: ST 601 | ST 301DOI: DOI: 10.1007/978-1-4842-2845-6Online resources:

Summary: 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 layersSummary: 1. Machine Learning -- 2. Neural Network -- 3. Training of Multi-Layer Neural Network -- 4. Neural Network and Classification -- 5. Deep Learning -- 6. Convolutional Neural NetworkPPN: PPN: 1659357462Package identifier: Produktsigel: ZDB-2-CWD | ZDB-2-SEB | ZDB-2-SXPC

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