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@@ -4,7 +4,7 @@ This tutorial was designed for easily diving into TensorFlow, through examples.
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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`, ...).
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-**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 ...).
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+**Update:** TensorFlow v1.4 is recommended. Added many new examples (kmeans, random forest, multi-gpu training, layers api, estimator api, dataset api ...).
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*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).*
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Aymeric Damien