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Re:Running your models in production with TensorFlow Serving by ilyaeck on Tuesday February 16, 2016 @08:39PM (#11114542)
[4] Did you generate that diagram with TensorFlow?

Regardless, I'd be interested in hearing more about your lessons learned from the DMN implementation - when you have some so share.

Re:Running your models in production with TensorFlow Serving by Smerity on Tuesday February 16, 2016 @09:01PM (#11114651)
The diagram was generated using a DMN I've implemented in TensorFlow, part of my work at MetaMind. Those diagrams are useful not just in visualizing the architecture but also for spot checking certain issues.

I was planning on writing up a blog post on TensorFlow in the near future but undecided on the topic. It could be about implementing something nice and simple[1], maybe an attention based model / language model using RNNs over PTB / etc, or a broader discussion about the good and bad bits of TensorFlow.

I really like TensorFlow, so improving the tutorials seems to be an important step. Whilst the existing tutorials are a good starting point, more in-depth exploration is trial by fire, made more difficult by construction of the graph being separate from executing the graph[2].

If people have particular topics they'd like to see covered, I'd love to hear about them! Ping me at [email protected] or @Smerity.

[1]: Similar to my "Question answering on the Facebook bAbi dataset using Keras" - http://smerity.com/articles/2015/keras_qa.html

[2]: As opposed to Numpy, directly inspecting something requires a bit more work. There is an InteractiveSession but it's still less direct.