NEURAL NETWORKS with MATLAB

NEURAL NETWORKS with MATLAB

Neural Network Toolbox provides algorithms, functions, and apps to create, train, visualize, and simulate neural networks. You can perform classification, regression, clustering, dimensionality reduction, time-series forecasting, and dynamic system modeling and control. The toolbox includes convolutional neural network and autoencoder deep learning algorithms for image classification and feature learning tasks. To speed up training of large data sets, you can distribute computations and data across multicore processors, GPUs, and computer clusters using Parallel Computing Toolbox. The more importan features are de next: â€¢Deep learning, including convolutional neural networks and autoencoders â€¢Parallel computing and GPU support for accelerating training (with Parallel Computing Toolbox â€¢Supervised learning algorithms, including multilayer, radial basis, learning vector quantization (LVQ), time-delay, nonlinear autoregressive (NARX), and recurrent neural network (RNN) â€¢Unsupervised learning algorithms, including self-organizing maps and competitive layers â€¢Apps for data-fitting, pattern recognition, and clustering â€¢Preprocessing, postprocessing, and network visualization for improving training efficiency and assessing network performance â€¢Simulink blocks for building and evaluating neural networks and for control systems applications

Country	USA
Author	Marvin L.
Binding	Paperback
EAN	9781539701958
ISBN	1539701956
Label	CreateSpace Independent Publishing Platform
Manufacturer	CreateSpace Independent Publishing Platform
NumberOfPages	418
PublicationDate	2016-10-23
Publisher	CreateSpace Independent Publishing Platform
Studio	CreateSpace Independent Publishing Platform
ReleaseDate	0000-00-00