Adagrad optimizer.
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()
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