# Code for Distributed Deep Learning Course ## Distributed Deep Learning with Google Cloud Machine Learning Engine #### What we will do in this chapter. - Create a python package/module - Use a canned Tensorflow estimator - Train our model locally - Train our model on the cloud (GPUs) - Export and deploy our model as a prediction server - Do online and batch prediction - Improve our model using hyperparameter tuning - Deploy our new and improved model as a prediction server - Setup API service for machine learning model