Damped Newton Stochastic Gradient Descent Method for Neural Networks Training
First-order methods such as stochastic gradient descent (SGD) have recently become popular optimization methods to train deep neural networks (DNNs) for good generalization; however, they need a long training time. Second-order methods which can lower the training time are scarcely used on account o...
| Κύριοι συγγραφείς: | , , , |
|---|---|
| Μορφή: | Άρθρο |
| Γλώσσα: | English |
| Έκδοση: |
MDPI AG
2021-06-01
|
| Σειρά: | Mathematics |
| Θέματα: | |
| Διαθέσιμο Online: | https://www.mdpi.com/2227-7390/9/13/1533 |