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| 1 | +## Train a BlazingText text classification algorithm in SageMaker, inference with AWS Lambda |
| 2 | + |
| 3 | +This examples illustrates how to use a BlazingText text classification training with SageMaker, and serving with AWS Lambda. |
| 4 | + |
| 5 | +This project contains source code and supporting files for a serverless application that you can deploy with the notebook. It includes the following files and folders. |
| 6 | + |
| 7 | +- blazingtext-text-classification-train-in-sagemaker-deploy-with-lambda.ipynb - Notebook to run training with SageMaker, and deploy the Lambda function. |
| 8 | +- container - The container directory has all the components you need to package the sample Lambda function. |
| 9 | +- events - Invocation events that you can use to invoke the function. |
| 10 | + |
| 11 | +## Train a TensorFlow classification model on the MNIST dataset |
| 12 | +You'll be running the [BlazingText text classification training with SageMaker, and serving with AWS Lambda](./blazingtext-text-classification-train-in-sagemaker-deploy-with-lambda.ipynb) notebook to train a TensorFlow classification model on the MNIST dataset. |
| 13 | + |
| 14 | +You can run this notebook in [SageMaker Notebook instance](https://docs.aws.amazon.com/sagemaker/latest/dg/nbi.html) |
| 15 | + |
| 16 | +This notebooks is identical to the original [BlazingText text classification](https://github.com/aws/amazon-sagemaker-examples/blob/master/introduction_to_amazon_algorithms/blazingtext_text_classification_dbpedia/blazingtext_text_classification_dbpedia.ipynb) notebook, except the fact that you'll deploy the model in Lambda function. |
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