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Created with Raphaël 2.2.019Apr161327Mar25Jan2417214Dec1197654128Nov22212098632131Oct302926252423212019181614131211106532129Sep2827262523221915128764131Aug29282517427Jul2420171312108765429Jun282726231914231May302386523Apr2216724Mar2317161386424Feb2216156Jan4321Dec196130Nov2928242118171614111098543231Oct30282726252321181716141312111097626Sep252321129875230Aug2928252416121110Make the logging less verboseConvert commands to click commandsRemove the unused steps parameterMention where the model will be savedkey is in bytes format in Python 3[ci] Port to the new CIRemoving legacy code [skip ci]Estimate the size of the tfrecords file that will be createdMerge branch 'organizing-losses' into 'master'Organized lossesMerge branch 'vgg16' into 'master'Merge branch 'early' into 'master'Removed VGG16Merging inception v1add logging info to db_to_tfrecordspaths needs to be a listExit normally with the earlystop hookMerge branch 'yapf' into 'master'pep8 formatting done by yapf -ri .Merge branch 'shutting-down-parts-of-the-network' into 'master'command line based loading of configsMerge branch 'master' into 'shutting-down-parts-of-the-network'Created mechanism that allows as to train only parts of the graphMerge branch 'reproducible' into 'master'chmod -R -x+X .Merge branch 'reproducible' into 'master'remove the models after the testsMerge branch 'reproducible' into 'master'Merge branch 'train_and_evaluate' into 'master'Use tf.train.get_or_create_global_step (introduced in 1.2) instead of the contrib oneUse tf.train.get_or_create_global_step (introduced in 1.2) instead of the contrib oneMerge branch 'early-stop' into 'master'Mention at which step did the best value happenfix earlystopping. Implement testsAccuracy/totalremove verbosityAdd an early stopping hookMerge branch 'predict' into 'master'added lstm, simple cnn, and simple mlp networksAdd a script to call tf.estimator.train_and_evaluate