Three learning stages and accuracy–efficiency tradeoff of restricted Boltzmann machines
Restricted Boltzmann Machines are unsupervised machine learning model that have been applied for various tasks from image analysis to many-body physics. The authors elaborate the interplay of accuracy and efficiency of this model and define possible balance regimes for applications.
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-09-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-022-33126-x |