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* 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