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Created with Raphaël 2.2.05Oct32129Sep2827262523221915128764131Aug29282517427Jul2420171312108765429Jun282726231914231May302386523Apr2216724Mar2317161386424Feb2216156Jan4321Dec196130Nov2928242118171614111098543231Oct30282726252321181716141312111097626Sep252321129875230Aug2928252416121110Removed 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 featuresextending win slicingextending win slicingcorrected audio splittingspport features inputMerge branch 'updates' into 'master'Fixes some unit testsgridtk integrationIntegrating gridtk [skip ci]Integrating gridtk [skip ci]Integrating gridtk [skip ci]Integrating with gridtk [skip ci]
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