"Introduction to Neural Networks Using MATLAB 6.0" by Sivanandam and Sumathi provides a foundational guide to creating, training, and simulating artificial neural networks using the MATLAB 6.0 Neural Network Toolbox. It covers essential concepts, including network architecture, activation functions, and common commands like newff and train for implementing multilayer perceptrons. Learn more about the book at MathWorks . Basics using MATLAB Neural Network Toolbox
Before autoencoders, there were SOMs for dimensionality reduction. The book provides excellent visual examples of how neurons topologically map to input space. introduction to neural networks using matlab 6.0 .pdf