Expand description
RMSProp (Root Mean Square Propagation) optimizer
RMSProp is an adaptive learning rate method that addresses AdaGrad’s learning rate decay problem. It maintains a moving average of the squared gradients and divides the gradient by the root of this average.
Structs§
- RMSProp
Options - Options for RMSProp optimization
Functions§
- minimize_
graves_ rmsprop - Graves’ RMSProp implementation with improved numerical stability
- minimize_
rmsprop - RMSProp optimizer implementation