TensorFlow Fold: Deep Learning with Dynamic Computation Graphs
For anyone interested in really flexible differentiable graphs, Chainer is the most flexible convenient library I've used. It's all I use for prototyping neural nets anymore, and I'm surprised not to see more adoption. It feels like working in numpy.