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'xrange' was used in multiple places. In this setting it provided no measurable gain in terms of performance or memory, but broke python3 compatibility. It was replaced with 'range'

The flag description for the momentum flag states that it is `The
momentum for the MomentumOptimizer and RMSPropOptimizer`, however its
not actually used in the RMSPropOptimizer.  Instead, a separate
`rmsprop_momentum` flag was used.  This deletes that flag for
simplicity.  It was not referenced anywhere else in the repo.

* Fixed model_deploy to correctly assign weights to variables_device

* Adding test for network_fn's arg_scope

* Style fix (double blank line)

* Add WORKSPACE file to models/slim so that imports work properly

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

Slim walkthough notebook update to show difference of inference for models with 1000 and 1001 classes. (#591)

* Example for VGG-19 inference was added to walkthough notebook. Example shows how to use networks that was trained using 1001 and 1000 classes.

* Small comment was added.

* changed VGG-19 to VGG-16

The average pool is used but named 'MaxPool_0a_7x7'.
Change it to 'AvgPool_0a_7x7'.

Fixed #903

Adding list of maintainers
Changing model links to point to tensorflow/models repository.