If you want to know more about RNNs in general, I can't recommend watching the videos/reading the notes from this course enough: http://cs224d.stanford.edu/syl

If you want to know more about RNNs in general, I can't recommend watching the videos/reading the notes from this course enough: http://cs224d.stanford.edu/syllabus.html http://cs224d.stanford.edu/syllabus.html If you want something more basic to get your head around NNs, I recommend Denny Britz's "Neural Networks from Scratch": http://www.wildml.com/2015/09/implementing-a-neural-network-from-scratch/ http://www.wildml.com/2015/09/implementing-a-neural-network-... I created a gist with a heavily commented version of his code: https://gist.github.com/sthware/c47824c116e6a61a56d9 https://gist.github.com/sthware/c47824c116e6a61a56d9