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README.md

Data preprocessing for machine learning using TensorFlow Transform

Disclaimer: This is not an official Google product.

These are example notebooks to explain how you can create and train a Keras model using Tensorflow Transform.

Setup

  1. Create a new Google Cloud project and enable the following API.
  • Vertex AI API
  • Notebooks API
  • Dataflow API

  1. Launch a new notebook instance from the "Vertex AI -> Workbench" menu. Choose "TensorFlow Enterprise 2.7 without GPUs" for the instance type.

  2. Open JupyterLab and execute the following commond from the JupyterLab terminal.

git clone https://github.com/GoogleCloudPlatform/training-data-analyst.git

  1. Open the notebook training-data-analyst/blogs/babyweight_tft/babyweight_tft_keras_01.ipynb and follow the instruction.

  2. Open the notebook training-data-analyst/blogs/babyweight_tft/babyweight_tft_keras_02.ipynb and follow the instruction.