Читать книгу Informatics and Machine Learning - Stephen Winters-Hilt - Страница 19

Before moving on to classification and clustering (Chapter 10), a brief description is given of some of the theoretical foundations for learning, starting with the foundation for the choice of information measures used in Chapters 2–4, and this is shown in Chapter 8. In Chapter 9 we then describe the theory of NNs. The Chapter 9 background is not meant to be a complete exposition on NN learning (the opposite), but merely goes through a few specific analyses in the area of Loss Bounds analysis to give a sense of what makes a good classification method.