GitLab

* Release DRAGNN

* Update CoNLL evaluation table & evaluator.py

* Update documentation & tutorial for DRAGNN

* Update the DRAGNN

* Tutorial link

Remove code and append flag warning

Add case for compiling ops if tensorflow was compiled from source using gcc >= 5.0

Convert tf.GraphKeys.VARIABLES -> tf.GraphKeys.GLOBAL_VARIABLES

Update sum_of_squares (TF 0.10) to mean_squared_error (TF 0.12)

Small clarification to documentation

Fix up the inception float comment

Fix ValueError when processing bbox in XML annotation file

Fixed minor typo

Fixed bug test failed on parser_trainer_test

Fix scope on inception v3 logit layer in README.

Align model slim/resnet to slim/inception

Align model slim/resnet to slim/inception (set spatial_squeeze and default_image_size). Add a sample script for training resnet_v1_50 on flower set

Fix Inception Resnet V2 Size Comment

Updating Softmax bias comment

1. Little bit optimized code

Python3 dict.values() does not return a list

fixed a bug in sampled_loss(), made compatible for 0.12.0

Set up resnet_v2's default_image_size code better

Fix issue #459

* Release DRAGNN

* Update CoNLL evaluation table & evaluator.py

* Update documentation & tutorial for DRAGNN

* Release DRAGNN

* Update CoNLL evaluation table & evaluator.py

add 'reuse' parameter to RNNCells to make code compatible with tensorflow master code

Fix path in TF-slim README

Fix typo in shard pattern.

slim: Fix typos at datasets/{cifar10,mnist}.py

Fix two typos