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55## Overview
66
7- ![ ] ( g3doc/images/nsl_overview.png ) {width="750" style="display : block ;margin : auto "}
7+ ![ ] ( g3doc/images/nsl_overview.png )
88
99** Neural Structured Learning (NSL)** is a new learning paradigm to train neural
1010networks by leveraging structured signals in addition to feature inputs.
@@ -71,15 +71,15 @@ contribute to TF Neural Structured Learning:
7171
7272 If you develop new algorithms in your own repository, we are happy to
7373 feature pointers to academic publications and/or repos using NSL on
74- [ tensorflow.org/nsl ] ( http://www.tensorflow.org/nsl ) .
74+ [ tensorflow.org/neural_structured_learning ] ( http://www.tensorflow.org/neural_structured_learning ) .
7575
7676Please be sure to review the
7777[ contribution guidelines] ( CONTRIBUTING.md#code-style-guidelines-and-best-practices )
7878for guidelines on the coding style, best practices, etc.
7979
8080## Issues and Questions
8181
82- For issues, please use [ GitHub issues] ( https://github.com/tensorflow/nsl /issues )
82+ For issues, please use [ GitHub issues] ( https://github.com/tensorflow/neural-structured-learning /issues )
8383for tracking requests and bugs. For questions, please direct them to [ Stack Overflow] ( https://stackoverflow.com ) with the
8484[ "nsl"] ( https://stackoverflow.com/questions/tagged/nsl )
8585tag.
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