I was using Keras pretty heavily, but I have switched over to fully using TensorFlow. Once you build a decent library of boiler plate, Tensorflow becomes very u

I was using Keras pretty heavily, but I have switched over to fully using TensorFlow. Once you build a decent library of boiler plate, Tensorflow becomes very usable. Packages like prettytensor may even surpass Keras in terms of usability. Also I found the Keras documentation to be quite lacking, and ended up reading the source code much more often than I would like to. I ended up bumping into the edges of the Keras API too much, and coming up with hacky type solutions to do things that are actually quite simple if you just do them in TensorFlow yourself. Theano and Torch are also great options, but I think I will be sticking with TensorFlow, simply because I trust that Google will be putting solid effort behind it for years to come.