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Working with TensorFlow - tips learned from Spark PyData


What tips can we use with TensorFlow taken from Spark/big-data experience? Working with cloud machines, experimenting, iterating, interactive work, monitoring and visualisation. Some script goodies on github provided for working with EC2 and Jupyter.


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