Neural Networks for Pattern Recognition

Neural Networks for Pattern Recognition by Christopher M. Bishop provides a thorough introduction to neural networks, covering fundamental concepts from linear models to Bayesian multilayer networks.

The book explores topics such as multi-layer perceptrons, radial basis function networks, error functions, and Bayesian techniques, offering insights into learning and generalization in neural networks.