Название: Matlab Neural Network Toolbox ReferenceАвтор: Mark Hudson Beale, Martin T. Hagan, Howard B. Demuth
Издательство: The MathWorks, Inc
Год: 2018
Страниц: 1146
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
This book combines and summarizes all functions of Matlab Neural Network Toolbox in alphabetical list.
Deep learning uses neural networks to learn useful representations of features directly from data. Neural networks combine multiple nonlinear processing layers, using simple elements operating in parallel and inspired by biological nervous systems. Deep learning models can achieve state-of-the-art accuracy in object classification, sometimes exceeding human-level performance.
You train models using a large set of labeled data and neural network architectures that contain many layers, usually including some convolutional layers. Training these models is computationally intensive and you can usually accelerate training by using a high performance GPU.
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