Deep Learning on 33,000,000 data points using a few lines of YAML

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  • model-analysis

    Model analysis tools for TensorFlow

  • This opens up a pre-configured Jupyter notebook where I can view Tensorboard logs, along with the excellent Tensorflow Model Analysis (TFMA) plugin. Both of these will show me different things about the pipeline.

  • Vim

    The official Vim repository

  • Now we can build our YAML config. Usually I would use an easy-to-follow configure command to create this, but for this post its easier to go section by section and build it manually. So open up a text editor (I'm a Sublime Text guy but do it in VIM if you wish, whatever floats your boat):

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  • sublime_text

    Issue tracker for Sublime Text

  • Now we can build our YAML config. Usually I would use an easy-to-follow configure command to create this, but for this post its easier to go section by section and build it manually. So open up a text editor (I'm a Sublime Text guy but do it in VIM if you wish, whatever floats your boat):

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