Update README.md

Author: suryadev99

Diff for: README.md

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 # Distributed Deep Learning Pipelines with PySpark and Keras
 
 #### _Introduction_
-In this notebook I use PySpark, Keras, and Elephas python libraries to build an end-to-end deep learning pipeline that runs on Spark.
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-#### _Objective_
-My interest in putting together this example was to learn and prototype. More specifically, learn more about PySpark pipelines as well as how I could integrate deep learning into the PySpark pipeline. I ran this entire project using Jupyter on my local machine to build a prototype for an upcoming project where the data will be massive. Since I work for IBM, I'll take this entire analytics project (Jupyter Notebook) and move it to IBM. This allows me to do my data ingestion, pipelining, training and deployment on a unified platform and on a much larger Spark cluster.
+In this notebook we use PySpark, Keras, and Elephas python libraries to build an end-to-end deep learning pipeline that runs on Spark.
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