Adadelta optimizer.
Adadelta optimizer as described in ADADELTA: An Adaptive Learning RateMethod.
optimizer_adadelta(lr = 1, rho = 0.95, epsilon = NULL, decay = 0,
clipnorm = NULL, clipvalue = NULL)Arguments
| lr | float >= 0. Learning rate. |
| rho | float >= 0. Decay factor. |
| epsilon | float >= 0. Fuzz factor. If |
| decay | float >= 0. Learning rate decay over each update. |
| clipnorm | Gradients will be clipped when their L2 norm exceeds this value. |
| clipvalue | Gradients will be clipped when their absolute value exceeds this value. |
Note
It is recommended to leave the parameters of this optimizer at their default values.
See also
Other optimizers: optimizer_adagrad,
optimizer_adamax,
optimizer_adam,
optimizer_nadam,
optimizer_rmsprop,
optimizer_sgd