* Added example for compute grads in ray
* Added formatting
* Removed need for placeholders in apply gradient
* Streamlined examples
* Fixed docs
* Added formatting
* Removed old references
* Simplified code some
* Addressed comments
* Changes to first code block
* Added test for training and updated code snippets
* Formatting
* Removed mean
* Removed all mention of mean
* Added comments
* Added comments
* Added test for retriving variables from an optimizer
* Added comments to test
* Addressed comments
* Fixed travis bug
* Added fix to circular controls
* Added set for explored operations and duplicate prefix stripping
* Removed embeded ipython
* Removed prefix, use seperate graph for each network
* Removed redundant imports
* Addressed comments and added separate graph to initializer
* fix typos
* get rid of prefix in documentation
* Remove start_ray_local from ray.init and change default number of workers to 10.
* Remove alexnet example.
* Move array methods to experimental.
* Remove TRPO example.
* Remove old files.
* Compile plasma when we build numbuf.
* Address comments.
* Updated code to mesh with get_weights returning a dict and new tf code
* Added tf.global_variables_initalizer to hyperopt example as well
* Small fix.
* Small name change.
* Added helper class for getting tf variables from loss function
* Updated usage and documentation
* Removed try-catches
* Added futures
* Added documentation
* fixes and tests
* more tests
* install tensorflow in travis
* Update documentation for serialization.
* Update documentation for reusable variables.
* Update documentation for using Ray with TensorFlow. This change is to allow code blocks to be copied and pasted into a Python interpreter.
* Fix documentation for hyperparameter optimization example.
* Cleanup setting and getting of tensorflow weights.
* Add documentation for using TensorFlow.
* Group get_weights and set_weights in a function.
* Update readme.
Wapaul1