Statistical Mechanics of Deep Linear Neural Networks: The Backpropagating Kernel Renormalization
The groundbreaking success of deep learning in many real-world tasks has triggered an intense effort to theoretically understand the power and limitations of deep learning in the training and generalization of complex tasks, so far with limited progress. In this work, we study the statistical mechan...
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| Auteurs principaux: | , |
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| Format: | article |
| Langue: | EN |
| Publié: |
American Physical Society
2021
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| Accès en ligne: | https://doaj.org/article/510738e70abd43f7a350f976de4a2e33 |
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