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Bug:
We use two different Saver objects during training, one to initialize from a
checkpoint and another to save and restore from checkpoints during training.
Both these Savers were bound to same variable name causing init_fn function
to use the latter instead of the former when called.

Adds an op to handle pre-computed word embeddings.

use external url for mlengine link

Fixes #1841

Fix indentation in obj detection tutorial

This change adds an op that will take a text vocabulary file, read
it, and use it to create a pre-computed word embedding vector.

Removed wrong parameter in another example

Fix import on export_inference_graph_test.

Update directories in preparing_inputs.md

Removed an error-causing parameter

modified the last line in download_and_convert_data.py scripts

Update Readme Install Instructions

Change split name in slim's export_inference_graph

Spatial attention for the Attention OCR model.

Update slim/nets.

removing memory intensive session.graph from FileWriter call

Add CODEOWNERS to auto-assign PRs

Extracted from first commit for each directory. Should be a reasonably good proxy.

Add back six dependency and change pbtxt files to reflect new way of …

- Set spatial squeeze to true for resnets
- Make activations configurable for resnets
- Make batch norm configurable for resnets
- Fix some bad comment wrapping in vgg.py.

Replace in-memory DastaSet with FixedLengthRecordDataSet

In-memory DataSet initiated without feed_dict are saved in TF graph def,
causing exported graph.pbtxt over-bloated.
Change to FixedLengthRecordDataSet and does a few refactorization.

* We do this because we want rules outside of slim to be able to depend on it in order to pull in slim models.

Add back six dependency and change pbtxt files to reflect new way of using own data to train object recognition models