Add tutorials to submit a distributed training job on Kubernetes. (#409)

Add tutorials to submit a distributed training job on Kubernetes
shenweichen · Sep 13, 2021 · cd9643c · cd9643c
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diff --git a/docs/requirements.readthedocs.txt b/docs/requirements.readthedocs.txt
@@ -1 +1,2 @@
-tensorflow==2.5.1
+tensorflow==2.5.1
+recommonmark==0.7.1
diff --git a/docs/source/Quick-Start.md b/docs/source/Quick-Start.md
@@ -116,9 +116,10 @@ history = model.fit(train_model_input, train[target].values,
 pred_ans = model.predict(test_model_input, batch_size=256)
 
 ```
-You can check the full code [here](./Examples.html#classification-criteo).
 
+You can check the full code [here](./Examples.html#classification-criteo).  
 
+You also can run a distributed training job with the keras model on Kubernetes using [ElasticDL](https://github.com/sql-machine-learning/elasticdl/blob/develop/docs/tutorials/elasticdl_deepctr_keras.md).
 
 ## Getting started: 4 steps to DeepCTR Estimator with TFRecord
 
@@ -176,12 +177,6 @@ eval_result = model.evaluate(test_model_input)
 print(eval_result)
 ```
 
-You can check the full code [here](./Examples.html#estimator-with-tfrecord-classification-criteo).
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+You can check the full code [here](./Examples.html#estimator-with-tfrecord-classification-criteo).  
 
+You also can run a distributed training job with the estimator model on Kubernetes using [ElasticDL](https://github.com/sql-machine-learning/elasticdl/blob/develop/docs/tutorials/elasticdl_deepctr_estimator.md).