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  1. It started with pybind11 envy.

  2. Traditionally the most popular way to run Ruby on Windows is using DevKit, which installs a complete Msys/MingW64 environment.

  3. After supporting linear regression and TensorBoard, the next step for the tensorflow-ruby gem is to run MNIST, the “Hello World” of deep learning.

  4. This evening I gave a talk about tensorflow-ruby to Seattle.rb, the oldest Ruby group in the world.

  5. Today was my first day at Pattern Computer.

  6. Now that tensorflow-ruby supports linear regression, its time to implement support for TensorBoard which helps you visualize how your model is working.

  7. Thanksgiving. 10am. 23 degrees.

  8. The TensforFlow Ruby bindings have achieved a milestone – its now possible to train a model to solve linear regression.

  9. Last Saturday, Yue and I went snorkeling with chum salmon on the Hood Canal.

  10. Since I recently left Zerista, I’ve had time some time to take a step back and think about what type of problems I want to work on next.