Download An Information-Theoretic Approach to Neural Computing by Gustavo Deco,Dragan Obradovic PDF

By Gustavo Deco,Dragan Obradovic

a close formula of neural networks from the information-theoretic standpoint. The authors exhibit how this angle presents new insights into the layout conception of neural networks. specifically they display how those tools should be utilized to the themes of supervised and unsupervised studying, together with characteristic extraction, linear and non-linear self sustaining part research, and Boltzmann machines. Readers are assumed to have a simple knowing of neural networks, yet all of the suitable thoughts from info idea are conscientiously brought and defined. as a result, readers from assorted medical disciplines, particularly cognitive scientists, engineers, physicists, statisticians, and laptop scientists, will locate this an exceptionally useful creation to this topic.

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