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It started with pybind11 envy.
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Traditionally the most popular way to run Ruby on Windows is using DevKit, which installs a complete Msys/MingW64 environment.
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After supporting linear regression and TensorBoard, the next step for the tensorflow-ruby gem is to run MNIST, the “Hello World” of deep learning.
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This evening I gave a talk about tensorflow-ruby to Seattle.rb, the oldest Ruby group in the world.
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Today was my first day at Pattern Computer.
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Now that tensorflow-ruby supports linear regression, its time to implement support for TensorBoard which helps you visualize how your model is working.
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Thanksgiving. 10am. 23 degrees.
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The TensforFlow Ruby bindings have achieved a milestone – its now possible to train a model to solve linear regression.
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Last Saturday, Yue and I went snorkeling with chum salmon on the Hood Canal.
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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.