TensorFlow Basics - Sunday
09:00-16:30 January 27

Full day
Intermediate level

@ 4ABC


This full-day workshop will show you how to transform big data into a TensorFlow dataset and then use Keras and TensorFlow Eager to create linear, convolutional and recurrent prediction models. We use Colab notebooks to inspect and transform the QuickDraw dataset and train and run the models.

ML knowledge is not strictly required for understanding the TensorFlow code, but we won't have time to explain ML theory during the workshop.


Participants will have a working skeleton for creating their own dataset to train and run models using TensorFlow.


  • Python programming
  • Google account (for using Colab)
  • Own Laptop with a modern browser


Andreas Steiner

Software Engineer, Google

Bartek Wołowiec

Software Engineer, Google

Ruslan Habalov

Security Engineer, Google

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Megan Ruthven

Software Engineer, Google

Twitter  ·  Website