* Add example file
* Move into train function
* Somewhat working example of MemNN, still has some failed trials
* Reorganize into a class
* Small fixes
* Iteration decrease and fix hyperparam_mutations
* Add example file
* Move into train function
* Somewhat working example of MemNN, still has some failed trials
* Reorganize into a class
* Small fixes
* Iteration decrease and fix hyperparam_mutations
* Some style edits
* Address PR changes without modifying learning rate
* Add configs and hyperparameter mutations
* Add tune test
* Modify import locations
* Some parameter changes for testing
* Update memnn example
* Add tensorboard support and address PR comment
* Final changes
* lint
* generator
Uses `tune.run` to execute experiments as preferred API.
@noahgolmant
This does not break backwards compat, but will slowly internalize `Experiment`.
In a separate PR, Tune schedulers should only support 1 running experiment at a time.
