Update README.md

README.md

@@ -4,7 +4,7 @@ This tutorial was designed for easily diving into TensorFlow, through examples.
 
 It is suitable for beginners who want to find clear and concise examples about TensorFlow. Besides the traditional 'raw' TensorFlow implementations, you can also find the latest TensorFlow API practices (such as `layers`, `estimator`, `dataset`, ...).
 
-**Update (27.08.17):** TensorFlow v1.3 is recommended. Added many new examples (kmeans, random forest, multi-gpu training, layers api, estimator api, dataset api ...).
+**Update:** TensorFlow v1.4 is recommended. Added many new examples (kmeans, random forest, multi-gpu training, layers api, estimator api, dataset api ...).
 
 *If you are using older TensorFlow version (0.11 and under), please have a [look here](https://github.com/aymericdamien/TensorFlow-Examples/tree/0.11).*