GitLab

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.

Addresses issue #619.

Add a list wrapper will make it run properly in Python3 as well as Python2.