Sequential monte carlo methods To train neural network models
We discuss a novel strategy for training neural networks using sequential Monte Carlo algorithms and propose a new hybrid gradient descent sampling importance resampling algorithm (HySIR). In terms of computational time and accuracy, the hybrid SIR is a clear improvement over conventional sequential...
| Autores principales: | , , , |
|---|---|
| Formato: | Journal article |
| Lenguaje: | English |
| Publicado: |
2000
|