Visualizing Dataflow Graphs of Deep Learning Models in TensorFlow
I wonder if one dominant visual dataflow language will ever emerge. It seems like a generally useful idea across many different domains but it's something that's always reimplemented from scratch. Stuff like how to visualize and layout the nodes seems to be pretty domain agnostic?<p>Game engines: <a href="https://docs.unrealengine.com/latest/INT/Engine/Rendering/Materials/Editor/" rel="nofollow">https://docs.unrealengine.com/latest/INT/Engine/Rendering/Ma...</a><p>Graphics:
<a href="https://developer.apple.com/library/content/documentation/GraphicsImaging/Conceptual/QuartzComposerUserGuide/qc_concepts/qc_concepts.html#//apple_ref/doc/uid/TP40005381-CH212-SW9" rel="nofollow">https://developer.apple.com/library/content/documentation/Gr...</a><p>Robotics: <a href="https://xod.io/" rel="nofollow">https://xod.io/</a><p>And many more: <a href="https://stackoverflow.com/questions/461796/dataflow-programming-languages/2035582" rel="nofollow">https://stackoverflow.com/questions/461796/dataflow-programm...</a>