Add tutorial link in docs.

keras-team · Apr 23, 2018 · f0175de · f0175de
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commit f0175de
Showing 1 changed file with 7 additions and 7 deletions.
diff --git a/docs/templates/why-use-keras.md b/docs/templates/why-use-keras.md
@@ -30,13 +30,13 @@ Keras has also been adopted by researchers at large scientific organizations, in
 
 Your Keras models can be easily deployed across a greater range of platforms than any other deep learning framework:
 
-- On iOS, via [Apple’s CoreML](https://developer.apple.com/documentation/coreml) (Keras support officially provided by Apple)
-- On Android, via the TensorFlow Android runtime. Example: [Not Hotdog app](https://medium.com/@timanglade/how-hbos-silicon-valley-built-not-hotdog-with-mobile-tensorflow-keras-react-native-ef03260747f3)
-- In the browser, via GPU-accelerated JavaScript runtimes such as [Keras.js](https://transcranial.github.io/keras-js/#/) and [WebDNN](https://mil-tokyo.github.io/webdnn/)
-- On Google Cloud, via [TensorFlow-Serving](https://www.tensorflow.org/serving/)
-- [In a Python webapp backend (such as a Flask app)](https://blog.keras.io/building-a-simple-keras-deep-learning-rest-api.html)
-- On the JVM, via [DL4J model import provided by SkyMind](https://deeplearning4j.org/model-import-keras)
-- On Raspberry Pi
+- On iOS, via [Apple’s CoreML](https://developer.apple.com/documentation/coreml) (Keras support officially provided by Apple). Here's [a tutorial](https://www.pyimagesearch.com/2018/04/23/running-keras-models-on-ios-with-coreml/).
+- On Android, via the TensorFlow Android runtime. Example: [Not Hotdog app](https://medium.com/@timanglade/how-hbos-silicon-valley-built-not-hotdog-with-mobile-tensorflow-keras-react-native-ef03260747f3).
+- In the browser, via GPU-accelerated JavaScript runtimes such as [Keras.js](https://transcranial.github.io/keras-js/#/) and [WebDNN](https://mil-tokyo.github.io/webdnn/).
+- On Google Cloud, via [TensorFlow-Serving](https://www.tensorflow.org/serving/).
+- [In a Python webapp backend (such as a Flask app)](https://blog.keras.io/building-a-simple-keras-deep-learning-rest-api.html).
+- On the JVM, via [DL4J model import provided by SkyMind](https://deeplearning4j.org/model-import-keras).
+- On Raspberry Pi.
 
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