Neural Network Toolbox for MATLAB

Neural networks are composed of simple elements operating in parallel. Theseelements are inspired by biological nervous systems. As in nature, the networkfunction is determined largely by the connections between elements.

We cantrain a neural network to perform a particular function by adjusting the valuesof the connections (weights) between elements.

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™.