Machine Learning Handouts

نویسنده

  • Bert Kappen
چکیده

1 Networks of binary neurons 3 1.1 Stochastic binary neurons and networks . . . . . . . . . . . . . . 3 1.1.1 Parallel dynamics: Little model . . . . . . . . . . . . . . 5 1.1.2 Sequential dynamics . . . . . . . . . . . . . . . . . . . . 5 1.2 Some properties of Markov processes . . . . . . . . . . . . . . . 6 1.2.1 Eigenvalue spectrum of T . . . . . . . . . . . . . . . . . 6 1.2.2 Ergodicity and ergodicity breaking . . . . . . . . . . . . . 8 1.3 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 1.4 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13

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تاریخ انتشار 2015