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DEPARTAMENTOS
INTERESSE GERAL
INTERESSE GERAL 2
LIVROS TÉCNICOS
LIVROS TÉCNICOS 2
CATEGORIAS
- IMPORTADOS
Statistical Mechanics of Neural Networks
Cód:
491_9789811675713
De: R$ 0,00Por: R$ 335,00ou X de
Chapter 1: IntroductionChapter 2: Spin Glass Models and Cavity MethodChapter 3: Variational Mean-Field Theory and Belief PropagationChapter 4: Monte-Carlo Simulation MethodsChapter 5: High-Temperature Expansion TechniquesChapter 6: Nishimori ModelChapter 7: Random Energy ModelChapter 8: Statistical Mechanics of Hopfield ModelChapter 9: Replica Symmetry and Symmetry BreakingChapter 10: Statistical Mechanics of Restricted Boltzmann MachineChapter 11: Simplest Model of Unsupervised Learning with Binary SynapsesChapter 12: Inherent-Symmetry Breaking in Unsupervised LearningChapter 13: Mean-Field Theory of Ising PerceptronChapter 14: Mean-Field Model of Multi-Layered PerceptronChapter 15: Mean-Field Theory of Dimension Reduction in Neural NetworksChapter 16: Chaos Theory of Random Recurrent NetworksChapter 17: Statistical Mechanics of Random MatricesChapter 18: Perspectives
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