RMSProp
E134579
UNEXPLORED
RMSProp is an adaptive gradient-based optimization algorithm commonly used to efficiently train deep neural networks by adjusting learning rates for individual parameters.
Referenced by (1)
| Subject (surface form when different) | Predicate |
|---|---|
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deep feedforward networks
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canUseOptimizer |