Merge pull request #1448 from tensorflow/adversarial-crypto-updates

README updates for adversarial_crypto

README.md

@@ -11,8 +11,8 @@ running TensorFlow 0.12 or earlier, please
 
 
 ## Models
-- [adversarial_text](adversarial_text): semi-supervised sequence learning with
-  adversarial training.
+- [adversarial_crypto](adversarial_crypto): protecting communications with adversarial neural cryptography.
+- [adversarial_text](adversarial_text): semi-supervised sequence learning with adversarial training.
 - [attention_ocr](attention_ocr): a model for real-world image text extraction.
 - [autoencoder](autoencoder): various autoencoders.
 - [cognitive_mapping_and_planning](cognitive_mapping_and_planning): implementation of a spatial memory based mapping and planning architecture for visual navigation.

adversarial_crypto/README.md

@@ -32,7 +32,9 @@ Requires Tensorflow r0.12 or later.
 After installing TensorFlow and ensuring that your paths are configured
 appropriately:
 
-  python train_eval.py
+```
+python train_eval.py
+```
 
 This will begin training a fresh model.  If and when the model becomes
 sufficiently well-trained, it will reset the Eve model multiple times