adaptive learning rate method
C19814
concept
An adaptive learning rate method is an optimization technique that automatically adjusts the step size for each parameter during training based on past gradient information to improve convergence speed and stability.
Observed surface forms (6)
| Surface form | Occurrences |
|---|---|
| deep learning method | 3 |
| stochastic optimization method | 2 |
| gradient-based optimization algorithm | 1 |
| neural network training algorithm | 1 |
| stochastic gradient descent variant | 1 |
| stochastic gradient-based optimization method | 1 |
Instances (10)
| Instance | Via concept surface |
|---|---|
| RMSProp | — |
| Adam optimizer | stochastic gradient descent variant |
| Layer Normalization | deep learning method |
| Large-Scale Distributed Deep Networks | deep learning method |
| AdaGrad | — |
| AdaDelta | stochastic gradient-based optimization method |
| Adam | stochastic optimization method |
| Adam | stochastic optimization method |
| Group Normalization | deep learning method |
| Connectionist Temporal Classification | neural network training algorithm |