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Neural networks and analog computation : beyond the turing limit
Overview of attention for book
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
Overall attention for this book and its chapters
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Mentioned by
blogs
1
blog
twitter
4
X users
syllabi
1
institution with syllabi
wikipedia
3
Wikipedia pages
Citations
dimensions_citation
250
Dimensions
Readers on
mendeley
34
Mendeley
Book overview
1. Computational Complexity
2. The Model
3. Networks with Rational Weights
4. Networks with Real Weights
5. Kolmogorov Weights: Between P and P/poly
6. Space and Precision
7. Universality of Sigmoidal Networks
8. Different-limits Networks
9. Stochastic Dynamics
10. Generalized Processor Networks
11. Analog Computation
12. Computation Beyond the Turing Limit
Summary
Blogs
X
Syllabi
Wikipedia
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
1
syllabus from an institution on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
Unknown
1
Unknown