Type AdagradOptimizer
Namespace tensorflow.train
Parent Optimizer
Interfaces IAdagradOptimizer
Optimizer that implements the Adagrad algorithm. See this [paper](http://www.jmlr.org/papers/volume12/duchi11a/duchi11a.pdf)
or this
[intro](https://ppasupat.github.io/a9online/uploads/proximal_notes.pdf).
Methods
Properties
Public static methods
AdagradOptimizer NewDyn(object learning_rate, ImplicitContainer<T> initial_accumulator_value, ImplicitContainer<T> use_locking, ImplicitContainer<T> name)
Construct a new Adagrad optimizer.
Parameters
-
objectlearning_rate - A `Tensor` or a floating point value. The learning rate.
-
ImplicitContainer<T>initial_accumulator_value - A floating point value. Starting value for the accumulators, must be positive.
-
ImplicitContainer<T>use_locking - If `True` use locks for update operations.
-
ImplicitContainer<T>name - Optional name prefix for the operations created when applying gradients. Defaults to "Adagrad".