optimizer_adagrad {keras} | R Documentation |
Adagrad optimizer as described in Adaptive Subgradient Methods for Online Learning and Stochastic Optimization.
optimizer_adagrad(lr = 0.01, epsilon = NULL, decay = 0, clipnorm = NULL, clipvalue = NULL)
lr |
float >= 0. Learning rate. |
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. |
It is recommended to leave the parameters of this optimizer at their default values.
Other optimizers: optimizer_adadelta
,
optimizer_adamax
,
optimizer_adam
,
optimizer_nadam
,
optimizer_rmsprop
,
optimizer_sgd