PATTERN RECOGNITION AND IMAGE CLASSIFICATION WITH NEURAL NETWORKS USING MATLAB

MATLAB has the tool Neural Network Toolbox (Deep Learning Toolbox since release 18) that provides algorithms, functions, and apps to create, train, visualize, and simulate neural networks. You can perform classification, regression, clustering, pattern recognition, 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. In addition to clustering for classification, neural networks are also good at recognizing patterns with the purpose of classifying. All this tasks are devoloped in this book including examples.