configuration for each implementation. For example, configuring the
                            minimum TLS version or supported cipher suites.


                            A set of common keys MAY be defined by the API in the future. To avoid
                            any ambiguity, implementation-specific definitions MUST use

    cuDNN R4
*   Added a `contrib/` directory for unsupported or experimental features,
    including higher level `layers` module
*   Added an easy way to add and dynamically load user-defined ops
*   Built out a good suite of tests, things should break less!
*   Added `MetaGraphDef` which makes it easier to save graphs with metadata
*   Added assignments for "Deep Learning with TensorFlow" udacity course

## Bug Fixes and Other Changes