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ZankerH comments on Open thread, Nov. 09 - Nov. 15, 2015 - Less Wrong Discussion
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*linear algebra computational graph engine with automatic gradient calculation
I really wonder how this will fit into the established deep learning software ecosystem - it has clear advantages over any single one of the large players (Theano, Torch, Caffee), but lacks the established community of any of them. As a researcher in the field, it's really frustrating that there is no standardisation and you essentially have to know a ton of software frameworks to effectively keep up with research, and I highly doubt Google entering the fray will change this.
https://xkcd.com/927/
Add Julia to the mix as well (which I currently use and I find personally better than those other ones).
I think TensorFlow's niche would be in the area of prototyping new ML algorithms as it seems pretty general, flexible, and fast. If you just want a simple deep neural net, it might be better to use Caffe or Theano. Those do not provide a flexible and general optimization framework, though. TensorFlow also seems more powerful in the area of language processing, as you'd expect.