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Created with Raphaël 2.2.012Oct11106532129Sep2827262523221915128764131Aug29282517427Jul2420171312108765429Jun282726231914231May302386523Apr2216724Mar2317161386424Feb2216156Jan4321Dec196130Nov2928242118171614111098543231Oct30282726252321181716141312111097626Sep252321129875230Aug2928252416121110Changed LightCNN to functions issue #37Replaced some classes to functions #37 . Still need to update some testsI don't know why I'm commiting this. Suddenly everything was updated with nothingAdd support for databases which contain more than one sample in one fileAdd support for databases which contain more than one sample in one filesmall cleanupMerge branch 'updates' into 'master'Merge branch 'master' into 'updates'[sphinx] Documented some classes [skip ci]Reorganized the the TFRecord datashufflers[sphinx] Fixed warningsRemoved some comments [skip ci]Added the flag **trainable** for each variable in the modelAdded the data type as inputUpdated the resize algorithmImplemented center lossCreated a TFRecord datashuffler special for imagesUpdated TFRecordsadded dropout to lstmsmall correctionCreated mechanism to amend networksAdded center lossFixed color channels for the LFW imagestest for mnist lstm, base datashuffler: loop through dataDebugging [skip ci]Working on adapted networksInjected tensors directly via config scriptUpdated the embedding accuracy mechanismChanged the validation snapshot defaultAdded an option to sum the regularization losses in the general lossAdded InceptionResnetV1Add keyword argument to flag the shuffling mechanismMerge branch 'updates' into 'master'Patched the train.py script to accept tensors as inputCrafted a script tha generates LFW pairs for validationFixed test caseImplemented embedding validationImplemented embedding validationChange feature nameCreated debug features