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Neural networks and analog computation : beyond the turing limit

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Cover of 'Neural networks and analog computation : beyond the turing limit'

Table of Contents

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    Book Overview
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    Chapter 1 Computational Complexity
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    Chapter 2 The Model
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    Chapter 3 Networks with Rational Weights
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    Chapter 4 Networks with Real Weights
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    Chapter 5 Kolmogorov Weights: Between P and P/poly
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    Chapter 6 Space and Precision
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    Chapter 7 Universality of Sigmoidal Networks
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    Chapter 8 Different-limits Networks
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    Chapter 9 Stochastic Dynamics
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    Chapter 10 Generalized Processor Networks
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    Chapter 11 Analog Computation
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    Chapter 12 Computation Beyond the Turing Limit
Attention for Chapter 7: Universality of Sigmoidal Networks
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