Distributed Deep Learning w/ Tensorflow

Directory structure

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  • Directory Structure
    • trainer [folder]
      • task.py
        • this is where your main functions and command line args will be
      • model.py
        • this is where your model will be
      • __init__.py
        • this is required for your module
    • data [folder]
      • train.csv
      • test.csv
      • full_dataset.csv
    • utils.py
    • setup.py
      • this is where your module info will go (i.e. packages, version)

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Tensorflow Full Loop ML

Experiments

Tensorflow has a built-in class that takes the full machine learning cycle and handles it in a distributed way if needed and asks that you

Estimators

ExportStrategy

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Read Dataset