* Fix for python3, as the iterator returned by the map will be empty after logging.

* Fix PTB example according to upstream changes.

simplify FixedUnpooling with tensordot, add NCHW support (but not for the special 2x2 case) (fix #314)

* Add name to logger.autodir for different runs and simplify
similarity learning (incl. removing tf.FLAGS in favor of argparse)

* remove 'required' from mnist-embedding.py

* next fix

* c'mon travis

* Update logger.py

* fix linting..

It was always confusing, that most functions use `name` and
PrintData expected `label`.

* Add ignore to SaverRestore

When fine-tuning a model, one might want to skip some tensors from
restoring.

The following example will not load the learning rate from the
checkpoint file:

  config.session_init = SaverRestore(args.load,
      ignore=['learning_rate'])

* Update sessinit.py