Thanks for all the suggestions! 
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I think good working code with concise explanation and best practice r all excellent. However, i would like to see an end-2-end of a screwed up example, and then how to debug and fix things. This could be either correctness bugs, or inference performance bugs.
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The implementation of excluding cnns and applying attention mechanism on custom network for image classification would be awesome :)
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