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

By Gustavo Deco,Dragan Obradovic

an in depth formula of neural networks from the information-theoretic standpoint. The authors exhibit how this attitude offers new insights into the layout idea of neural networks. specifically they reveal how those tools will 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 figuring out of neural networks, yet all of the proper strategies from info conception are conscientiously brought and defined. for this reason, readers from different medical disciplines, particularly cognitive scientists, engineers, physicists, statisticians, and computing device scientists, will locate this a very beneficial advent to this topic.

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