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Book Categories |
Introduction | ||
1 | Computational Complexity | 1 |
2 | The Model | 19 |
3 | Networks with Rational Weights | 29 |
4 | Networks with Real Weights | 59 |
5 | Kolmogorov Weights: Between P and P/poly | 77 |
6 | Space and Precision | 91 |
7 | Universality of Sigmoidal Networks | 97 |
8 | Different-limits Networks | 115 |
9 | Stochastic Dynamics | 121 |
10 | Generalized Processor Networks | 141 |
11 | Analog Computation | 147 |
12 | Computation Beyond the Turing Limit | 153 |
Bibliography | 165 | |
Index | 179 |
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Add Neural Networks and Analog Computation, The theoretical foundations of Neural Networks and Analog Computation conceptualize neural networks as a particular type of computer consisting of multiple assemblies of basic processors interconnected in an intricate structure. Examining these networks u, Neural Networks and Analog Computation to the inventory that you are selling on WonderClubX
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Add Neural Networks and Analog Computation, The theoretical foundations of Neural Networks and Analog Computation conceptualize neural networks as a particular type of computer consisting of multiple assemblies of basic processors interconnected in an intricate structure. Examining these networks u, Neural Networks and Analog Computation to your collection on WonderClub |