GitLab

Full code refactor and added all networks

* Update README.md

Added alternative way to install bazel. Because people have been facing problem and by mistake they are downloading the latest version.

* Update README.md

change `Assuming than` to `Assuming that`.

changed 'matchine' to 'machine'

Fix citation in README.

Fix typo

Fixed conll2tree.py; handling correctly a sentence that has multiple elements with identical representation (#292)

change "seqeuence-to-sequence" to "sequence-to-sequence"

Add text summarization model to tensorflow/models.

* Fix bug in inception README.md

Fixes #59

* Document that number of classes and example count is hardcoded

Fixes #190

fixed URL for pretrained syntactic models

* Adding scripts for tokenization and parsing in new languages.

* Adding:
  - offset feature locator,
  - last word feature function,
  - untokenized text format.

* Adding references to @calberti and @andorardo to syntaxnet readme.

* Morpher and segmenter transition systems and new features (quotes, punctuation, capitalization, character ngrams, morphology attributes).

Cleanup changes for syntaxnet.

Fixed confusing wording

The script actually reads $LABEL_FILE and strips out the text, which it uses to label and find image files in their respective sub directories.

* TF defines the same external repositories but with different commit and BUILD

* Fix a bunch of bazel namespace issues

@tf changed to @org_tensorflow
Tensorflow stopped using protobuf as submodule, now it's external, so use @protobuf

* Sync to master of tensorflow submodule:
  - local version of is_cuda in syntaxnet.bzl,
  - using unique_ptr in file api.

As Docker builds are layer by layer, removing cached package files in different layers do not reduce image size. To reduce image size, cached packages have to removed in the same layer i.e., `RUN` command as the packages have been installed.
Signed-off-by: Riyad Parvez <social.riyad@gmail.com>

Misspelling in parameter (factfor --> factor)

* Use the tensorflow cross entropy function to prevent nan losses.

* Correct double softmax and use mean for loss.

remove unneeded assignment statement