There are currently many excellent frameworks to choose from: TensorFlow, Theano, Torch, MXNet are all great. The comparative advantage of TensorFlow is mostly its support in the community (e.g. most stars on GitHub, most new projects being developed, etc).
The community around Tensorflow is great (lots of people that try to recreate results from new papers using TF), but if you're worried about putting all your eggs in one basket (or want to be a higher level up) you should checkout Keras if you haven't yet. It lets you write generic nets that can run on Theano or TF.
I'm glad you are since I'm using it myself, but I haven't used any other frameworks so I'm wondering if I should expect more people to head in this direction, or spend time learning others.