Equivalence between belief propagation instability and transition to replica symmetry breaking in perceptron learning systems
The binary perceptron is a fundamental model of supervised learning for nonconvex optimization, which is a root of the popular deep learning. The binary perceptron is able to achieve a classification of random high-dimensional data based on the marginal probabilities of binary synapses. The relation...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Physical Society
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |