Perceptron Theory Can Predict the Accuracy of Neural Networks-Reference-Cited by-同舟云学术

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Perceptron Theory Can Predict the Accuracy of Neural Networks

Published:2023 Issue: Volume: Page:1-15
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Kleyko Denis¹^ORCID,Rosato Antonello²,Frady Edward Paxon³^ORCID,Panella Massimo²^ORCID,Sommer Friedrich T.¹^ORCID

Affiliation:

1. Redwood Center for Theoretical Neuroscience, University of California at Berkeley, Berkeley, CA, USA

2. Department of Information Engineering, Electronics and Telecommunications, University of Rome “La Sapienza”, Rome, Italy

3. Neuromorphic Computing Laboratory, Intel Labs, Santa Clara, CA, USA

Funder

National Institutes of Health

European Union’s Horizon 2020 Research and Innovation Program within the Marie Skłodowska–Curie

Defense Advanced Research Projects Agency’s (DARPA) VIP (Super-HD Project) and AIE (HyDDENN Project) Programs

Air Force Office of Scientific Research

Intel’s THWAI Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10036478.pdf?arnumber=10036478

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3. Analysis of a Predictive Mathematical Model of Weather Changes Based on Neural Networks;Mathematics;2024-02-02

4. Hardware-Aware Static Optimization of Hyperdimensional Computations;Proceedings of the ACM on Programming Languages;2023-10-16

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