NEURAL NETWORKS by examples using MATLAB
NEURAL NETWORKS by examples using MATLAB
2017 | English | ISBN-10: 1542955424 | 154 pages | PDF + EPUB (conv) | 12.3 Mb
2017 | English | ISBN-10: 1542955424 | 154 pages | PDF + EPUB (conv) | 12.3 Mb
Neural networks theory is inspired from the natural neural network of human nervous system. Is possible define a neural network as a computing system made up of a number of simple, highly interconnected processing elements, which process information by their dynamic state response to external inputs.
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 MATLAB Parallel Computing Toolbox.