Serves as a practical guide for implementing neural networks using Java. It covers foundational concepts of artificial neural networks (ANNs), various learning paradigms like supervised and unsupervised learning, and specific neural network architectures such as perceptrons, multilayer perceptrons (MLPs), and Self-Organizing Maps (SOMs). The content also explores practical applications, including weather forecasting, disease diagnosis, customer profiling, and pattern recognition (OCR), while also touching upon neural network optimization techniques.
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