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