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Training a Two-Layer ReLU Network Analytically
Neural networks are usually trained with different variants of gradient descent-based optimization algorithms such as the stochastic gradient descent or the Adam optimizer. Recent theoretical work states that the critical points (where the gradient of the loss is zero) of two-layer ReLU networks wit...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10146164/ https://www.ncbi.nlm.nih.gov/pubmed/37112413 http://dx.doi.org/10.3390/s23084072 |