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Removed some comments [skip ci]
Added the flag **trainable** for each variable in the model
Added the data type as input
Updated the resize algorithm
Implemented center loss
Created a TFRecord datashuffler special for images
Updated TFRecords
added dropout to lstm
small correction
Created mechanism to amend networks
Added center loss
Fixed color channels for the LFW images
test for mnist lstm, base datashuffler: loop through data
Debugging [skip ci]
Working on adapted networks
Injected tensors directly via config script
Updated the embedding accuracy mechanism
Changed the validation snapshot default
Added an option to sum the regularization losses in the general loss
Added InceptionResnetV1
Add keyword argument to flag the shuffling mechanism
Merge branch 'updates' into 'master'
Patched the train.py script to accept tensors as input
Crafted a script tha generates LFW pairs for validation
Fixed test case
Implemented embedding validation
Implemented embedding validation
Change feature name
Created debug features
extending win slicing
extending win slicing
corrected audio splitting
spport features input
Merge branch 'updates' into 'master'
Fixes some unit tests
gridtk integration
Integrating gridtk [skip ci]
Integrating gridtk [skip ci]
Integrating gridtk [skip ci]
Integrating with gridtk [skip ci]
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