TensorFlow is admirably easier to install than some other frameworks I thought most frameworks are fairly easy to install in python, usually with a single call to pip. NLTK takes one "pip install nltk" and then "python", "import nltk", "nltk.download()" to download all the corpuses and miscellaneous data. Installing tensorflow seems complicated compared to that. # Ubuntu/Linux 64-bit, CPU only: $ sudo pip install --u…
By comparison, here's what you need to install (manually!) for Torch on OSX:
Homebrew
Xcode
cmake
wget
readline
QT
ffmpeg
gnuplot
opencv
CUDA (and there's a whole other thread trying to get that to work..)
http://e-lab.github.io/html/wiki-torch7-installation.html