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Fix a typo

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Sergii Khomenko 2017-10-27 11:10:44 +02:00
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tensorflow/contrib/gan/README.md
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@ -47,7 +47,7 @@ such as the Wasserstein loss, gradient penalty, mutual information penalty, etc
* [evaluation](https://www.tensorflow.org/code/tensorflow/contrib/gan/python/eval/python/): * [evaluation](https://www.tensorflow.org/code/tensorflow/contrib/gan/python/eval/python/):
Use `Inception Score` or `Frechet Distance` with a pretrained Inception Use `Inception Score` or `Frechet Distance` with a pretrained Inception
network to evaluate your unconditional generative model. You can also also use network to evaluate your unconditional generative model. You can also use
your own pretrained classifier for more specific performance numbers, or use your own pretrained classifier for more specific performance numbers, or use
other methods for evaluating conditional generative models. other methods for evaluating conditional generative models.