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Corrected "One this" to "Once this" and added comma for proper punctuation on line 702.
This reverts commit c6a4f78. Fixed tensorflow/tensorflow#4981
Revert "Use open() instead of tf.gfile.FastGFile()"
Fix run textsum on a single GPU
Fix broken link in inception readme
added python3 support to read_label_file
For English News Corpus, [Ling et al. (2015)](http://www.cs.cmu.edu/~lingwang/papers/emnlp2015.pdf)'s score is 97.78 -> 97.44 (lower than SyntaxNet and Parsey Mcparseface) according to [Andor et al. (2016)](http://arxiv.org/abs/1603.06042).
Fix POS tagging score of Ling et al.(2005)
"threads" declared twice, so delete one
Add Inception-ResNet-v2 pre-trained model
Fix comment of parameter "output_codes"
Update README.md
Update README.md
Fix end point collection to return a dict
Allow softplacement for ResNet
tf-model-slim doc typo
Explicitly set state_is_tuple=False.
Differential privacy analysis for the privacy model tutorial
privacy-preserving model
Added STREET model for FSNS dataset
Consolidate privacy/ and differential_privacy/.
Fix the BUILD file
Now differential_privacy and privacy are under the same project.
Remove privacy/ after consolidation.
val_captions_file -> captions_val2014.json
Remove comment that TensorFlow must be built from source.
Implementation of Inception V4 (tensorflow#18)
Update compression model README with results for comparison.
Adding list of maintainers Changing model links to point to tensorflow/models repository.
Updating README.md
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Hello
I'm a software engineering student and i use tesseract OCR engine in a university project. For persian language, traineddata which it's a file and it made by Training tesseract 4.00 and LSTM method, has a good result and output in Arial fonts but it doesn't have any good result in some specific fonts for persian. So the questions are :
1- did you use specific fonts like B Nazanin , B Roya or etc in Training Tesseract 4.00 with LSTM or not?
2- if they haven't used how can we use these fonts for getting better result?
I prepared a text that all the cases of litrates have repeated for 10 or 15 or more than 15 times in this text. Also i used the process of training tesseract 3.05 for this text but i didn't get better and beneficial output.
For achieving to a good result in persian in Tesseract OCR engine we need your experience and your help.
Thanks for your attention
Sincerely.