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Predicting windspeed from satellite images of tropical storms

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Predicting windspeed of satellite images of hurricanes

This notebook was created for a Driven Data competition.

Tools Used

  • Google Collab Notebook w/ TPUs
  • Python, Keras, Tensorflow
  • Convolutional Neural Network (CNN)

Technical Highlights

  • Training set consisted of 70,000 366x366 JPG files (1 GB)
  • To improve performance, Google Collab's TPUs were used
  • JPG files were convered to TFRecord format and the TFRecord files were stored in a Google Bucket
  • The TFRecords were streamed in batches to the model during training
  • During training, model checkpoints (for the Best MSE) are saved to Google Drive
  • At the end of training, the final model is also saved to Google Drive

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Predicting windspeed from satellite images of tropical storms

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