Recurrent networks let us learn from sequential data (time series, music, audio, video frames, etc ). We're going to build one from scratch in numpy (including backpropagation) to generate a sequence of words in the style of Franz Kafka.
Code for this video:
https://github.com/llSourcell/recurrent_neural_network
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More learning resources:
https://www.youtube.com/watch?v=hWgGJeAvLws
https://www.youtube.com/watch?v=cdLUzrjnlr4
https://medium.freecodecamp.org/dive-into-deep-learning-with-these-23-online-courses-bf247d289cc0
http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/
https://deeplearning4j.org/lstm.html
http://karpathy.github.io/2015/05/21/rnn-effectiveness/
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