kalyc commented on a change in pull request #13273: [Example]Fix mlp_csv example
URL: https://github.com/apache/incubator-mxnet/pull/13273#discussion_r234028416
 
 

 ##########
 File path: cpp-package/example/README.md
 ##########
 @@ -69,7 +69,13 @@ build/mlp_gpu
 The code implements a multilayer perceptron to train the MNIST data. The code 
demonstrates the use of the "SimpleBind"  C++ API and CSVIter. The CSVIter can 
iterate data that is in CSV format. The example can be run on CPU or GPU. The 
example usage is as follows:
 
 ```
-build/mlp_csv --train mnist_training_set.csv --test mnist_test_set.csv 
--epochs 10 --batch_size 100 --hidden_units "128,64,64 [--gpu]"
+build/mlp_csv --train data/mnist_data/mnist_train.csv --test 
data/mnist_data/mnist_test.csv --epochs 10 --batch_size 100 --hidden_units "128 
64 64" --gpu
+```
+* To get the `mnist_training_set.csv` and `mnist_test_set.csv` please run the 
following command:
+```python
+# in incubator-mxnet/cpp-package/example directory
+python mnist_to_csv.py ./data/mnist_data/train-images-idx3-ubyte 
./data/mnist_data/train-labels-idx1-ubyte ./data/mnist_data/mnist_train.csv 
60000
 
 Review comment:
   do we have instructions on how to get train-images & train-labels locally?

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