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Diego committed Oct 30, 2018
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Expand Up @@ -57,7 +57,7 @@ Now, we can go back to our SageMaker developer instance and launch the training
1. Go to Amazon SageMaker console.
2. Click on **Notebook instances** and **open** your Notebook instance.
3. Browse to the folder **smlambdaworkshop > training** and open the file **sms\_spam\_classifier\_mxnet.ipynb**
4. Go to step 7 and run it again.
4. Go to step 6 and run it again.

Once the model is trained succesful, the model.tar.gz will be uploaded into the S3 bucket and the pipeline will be triggered.

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