Название: Matlab Neural Network Toolbox User's Guide Автор: Mark Hudson Beale, Martin T. Hagan, Howard B. Demuth Издательство: The MathWorks, Inc Год: 2018 Страниц: 558 Язык: английский Формат: pdf (true) Размер: 10.17 MB
The book presents the theory of neural networks, discusses their design and application, and makes considerable use of the MATLAB environment and Neural Network Toolbox software. Example programs from the book are used in various sections of this documentation.
Deep learning is a branch of machine learning that teaches computers to do what comes naturally to humans: learn from experience. Machine learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model. Deep learning is especially suited for image recognition, which is important for solving problems such as facial recognition, motion detection, and many advanced driver assistance technologies such as autonomous driving, lane detection, pedestrian detection, and autonomous parking.
Neural Network Toolbox provides simple MATLAB commands for creating and interconnecting the layers of a deep neural network. Examples and pretrained networks make it easy to use MATLAB for deep learning, even without knowledge of advanced computer vision algorithms or neural networks.
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Matlab Neural Network Toolbox User's Guide 
