Added blazingtext-text-classification-train-in-sagemaker-deploy-with-lambda sample code

Author: eitansela

blazingtext-text-classification-train-in-sagemaker-deploy-with-lambda/README.md

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+## Train a BlazingText text classification algorithm in SageMaker, inference with AWS Lambda
+
+This examples illustrates how to use a BlazingText text classification training with SageMaker, and serving with AWS Lambda.
+
+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.
+
+- blazingtext-text-classification-train-in-sagemaker-deploy-with-lambda.ipynb - Notebook to run training with SageMaker, and deploy the Lambda function.
+- container - The container directory has all the components you need to package the sample Lambda function.
+- events - Invocation events that you can use to invoke the function.
+
+## Train a TensorFlow classification model on the MNIST dataset 
+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.
+
+You can run this notebook in [SageMaker Notebook instance](https://docs.aws.amazon.com/sagemaker/latest/dg/nbi.html)
+
+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.