TensorFlow review: The best deep learning library gets better

If you looked at TensorFlow as a deep learning framework last year and decided that it was too hard or too immature to use, it might be time to give it another look. Since I reviewed TensorFlow r0.10 in October 2016, Google's open source framework for deep learning has become more mature, implemented more algorithms and deployment options, and become easier to program. TensorFlow is now up to version r1.4.1 (stable version and web documentation), r1.5 (release candidate), and pre-release r1.6 (master branch and daily builds). The TensorFlow project has been quite active. As a crude measure, the TensorFlow repository on GitHub currently has about 27 thousand commits, 85 thousand stars, and 42 thousand forks.