FAdamWav: A Fractional Wavelet Gradient Optimizer for Neural Networks
The optimizer is a critical element of neural networks because it computes their optimal parameters through a training process. The Adam optimizer is considered the state of the art in deep learning. However, a drawback is the cost of storing and computing their gradients. A useful tool for addressi...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2026-02-01
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| Colecção: | Fractal and Fractional |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/2504-3110/10/3/149 |
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