* Began work on batch renormalization
* Correct the implementation to use broadcasting properly, so it supports th dim ordering
* Correct the implementation to use broadcasting properly, so it supports th dim ordering
* Corrected normalizing term for d
* Moved location of updates
* Fixed the training problems and now auto adjusts the r_max and d_max values
* Removed unused code comments
* Finished implementation of batch renormalization
* Corrected the get_config method
* Added tests
* Added user changeable parameter t_delta to change the rate at which time steps increase
* Updated tests to state renorm everywhere
* Attempt a fix for mode=1 test fail (giving nans)
* Applied fix for nans to all calculations involving running mean and std
* Corrected time delta default value
* Reverts a mistake in pytest settings
* Corrections to calculations of r and d due to wrong variable naming (running_std perserves running_variance)
* Added t_delta to get_config
* Fix commit change mixup
* Corrected the check for uses_learning_flag
* Made a few corrections, added moments to backend, added test to backend
* Probable fix for test
* Corrected backend test
* Added support for mode 2
* Add extract_patches as a new backend op
* Add more test
* Merge master
* Fix typo
* stop using K in backend
* stop using K in backend
* Fix bug in extract_patches
* PEP8-ify
Michael Oliver