[GitHub] sandeep-krishnamurthy commented on a change in pull request #13680: [MXNET-1121] Example to demonstrate the inference workflow using RNN

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sandeep-krishnamurthy commented on a change in pull request #13680: [MXNET-1121] Example to demonstrate the inference workflow using RNN
URL: https://github.com/apache/incubator-mxnet/pull/13680#discussion_r246582368
 
 

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 File path: cpp-package/example/inference/README.md
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 @@ -39,3 +39,48 @@ Alternatively, The script [unit_test_inception_inference.sh](<https://github.com
 ```
 ./unit_test_inception_inference.sh
 ```
+
+### [simple_rnn.cpp](<https://github.com/apache/incubator-mxnet/blob/master/cpp-package/example/inference/simple_rnn.cpp>)
+This example demonstrates sequence prediction workflow with pre-trained RNN model using MXNet C++ API. The purpose of this example is to demonstrate how a pre-trained RNN model can be loaded and used to generate an output sequence using C++ API.
+The example performs following tasks
+- Load the pre-trained RNN model.
+- Load the dictionary file that contains word to index mapping.
+- Convert the input string to vector of indices and padded to match the input data length.
+- Run the forward pass and predict the output string.
+
+The example uses a pre-trained RNN model that is trained with the dataset containing speeches given by Obama.
+The model consists of :
+- Embedding Layer with the size of embedding to be 650
 
 Review comment:
   A simple image will be helpful

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