Zobacz książki o podobnej tematyce

Więcej informacji o Information-Theoretic Approach to Neural Computing

• Dane szczegółowe
• Opis
• Ulubione w innej kategorii

Za ten zakup dostaniesz 345 punkty

Opis

A detailed formulation of neural networks from the information-theoretic viewpoint. The authors show how this perspective provides new insights into the design theory of neural networks. In particular they demonstrate how these methods may be applied to the topics of supervised and unsupervised learning, including feature extraction, linear and non-linear independent component analysis, and Boltzmann machines. Readers are assumed to have a basic understanding of neural networks, but all the relevant concepts from information theory are carefully introduced and explained. Consequently, readers from varied scientific disciplines, notably cognitive scientists, engineers, physicists, statisticians, and computer scientists, will find this an extremely valuable introduction to this topic.

Szczegóły książki

Kategoria Knihy po anglicky Computing & information technology Computer science Artificial intelligence

• Pełny tytuł: Information-Theoretic Approach to Neural Computing
• Autor: Gustavo Deco, Dragan Obradovic
• Język: Angielski
• Oprawa: Miękka
• Liczba stron: 262
• EAN: 9781461284697
• ISBN: 1461284694
• ID: 06795673
• Wydawca: Springer-Verlag New York Inc.
• Waga: 429 g
• Wymiary: 235 × 155 × 16 mm
• Data wydania: 17. September 2011

Ulubione w innej kategorii

---

---

---