I just like Tensorflow better. For building new models, the graph is complex and errors are unavoidable. There is a separate compile time for Tensorflow and errors will be found before the data come in. Tried pytorch before, the error messages are usually not helpful at all and often leads to clueless debugging for hours.

For trying out deep learning, or build on existing models, pytorch or keras may be easier to grasp. But when making new models that involves a lot of math, the Theano/Tensorflow is more helpful IMO.