http://beamandrew.github.io/deeplearning/2017/02/23/deep_learning_101_part1.html
https://github.com/martin-gorner/tensorflow-mnist-tutorial
https://github.com/aymericdamien/TensorFlow-Examples
https://github.com/hpssjellis/easy-tensorflow-on-cloud9
https://github.com/nlintz/TensorFlow-Tutorials
https://github.com/Hvass-Labs/TensorFlow-Tutorials
https://github.com/LeavesBreathe/tensorflow_with_latest_papers
https://github.com/sjchoi86/Tensorflow-101
http://www.thoughtly.co/blog/deep-learning-lesson-1/
https://github.com/UKPLab/deeplearning4nlp-tutorial
https://www.ukp.tu-darmstadt.de/teaching/courses/ss-2016/deep-learning-for-nlp/
http://www.emnlp2016.net/tutorials.html#practical
http://cs224d.stanford.edu/syllabus.html
https://medium.com/@erikhallstrm/hello-world-rnn-83cd7105b767#.f5p6zdlxo
https://github.com/andrewt3000/DL4NLP
http://course.fast.ai/lessons/lesson1.html
https://codelabs.developers.google.com/codelabs/tensorflow-for-poets/index.html#0 Tensorflow for Poets
https://mattmazur.com/2015/03/17/a-step-by-step-backpropagation-example/
https://github.com/allenai/harvard-datascience-2014
https://github.com/delta2323/DLIF-tutorial/tree/master
https://github.com/oxford-cs-deepnlp-2017/lectures
https://web.stanford.edu/class/cs20si/index.html
https://github.com/chiphuyen/tf-stanford-tutorials
https://wookayin.github.io/tensorflow-talk-debugging/#1
https://github.com/yandexdataschool/Practical_RL
https://github.com/PaddlePaddle/book/blob/develop/README.en.md
https://github.com/adeshpande3/Tensorflow-Programs-and-Tutorials
https://github.com/nfmcclure/tensorflow_cookbook
