This is fantastic! I've been meaning to make an RNN to generate EDM. For begineers, I'd like to summarize some excellent resources to start: - Coursera course

This is fantastic! I've been meaning to make an RNN to generate EDM. For begineers, I'd like to summarize some excellent resources to start: - Coursera course by Andrew Ng (he explains everything magically. The best course I've done online) https://class.coursera.org/ml-003/lecture https://class.coursera.org/ml-003/lecture - Neural Networks and Deep Learning neuralnetworksanddeeplearning.com/ (I highly recommend trying to write your own backprop and MNIST dataset classifier. I wrote in JS and gave me a lot of confidence) - Oxford ML class (2015) https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/ https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearni... (perhaps the the most recent MOOC on ML online. Things are progressing so fast in deep learning that it's worthwhile to do multiple ML courses to get different perspectives) - I also enjoyed http://karpathy.github.io/2015/05/21/rnn-effectiveness/ http://karpathy.github.io/2015/05/21/rnn-effectiveness/ for inspiration and the video https://www.youtube.com/watch?v=xKt21ucdBY0 https://www.youtube.com/watch?v=xKt21ucdBY0 is a FANTASTIC summary. HN earlier pointed our the course videos are out http://cs224d.stanford.edu/syllabus.html http://cs224d.stanford.edu/syllabus.html - Again for inspiration into big challenges, this talk from Andrew Ng is a good one https://www.youtube.com/watch?v=W15K9PegQt0 https://www.youtube.com/watch?v=W15K9PegQt0