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MATLAB deep learning : with machine learning, neural networks and artificial intelligence / Phil Kim. - New York : Apress, 2017. - XVII, 151 stron : ilustracje, 24 cm
Author
Kim Phil (programmer) Autor
Form of Work
Książki
Subject
Uczenie maszynowe Sieci neuronowe Sztuczna inteligencja Matlab
Domain
Informatyka i technologie informacyjne
Słowo kluczowe
machine learning neural networks artificial intelligence Matlab
Harness the power of MATLAB for deep-learning challenges. This book provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. You’ll see how these toolboxes provide the complete set of functions needed to implement all aspects of deep learning. Along the way, you'll learn to model complex systems, including the stock market, natural language, and angles-only orbit determination. You’ll cover dynamics and control, and integrate deep-learning algorithms and approaches using MATLAB. You'll also apply deep learning to aircraft navigation using images. Finally, you'll carry out classification of ballet pirouettes using an inertial measurement unit to experiment with MATLAB's hardware capabilities.
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Biblioteka Główna. Czytelnie
Copies are only available in the library: sygn. 21334.XV.3 [Czytelnia C] (1 egz.)
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Includes bibliographical references and index.
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