Lecture notes for a Stanford class on #neural-networks and #deep-learning, written by Andrej #Karpathy, the author of #unreasonable-RNNs.
on 02016-04-25A hundred-line example of recurrent #neural-networks for text generation, by the author of #unreasonable-RNNs.
on 02015-08-18“Multi-layer recurrent #neural-networks (LSTM, GRU, RNN) for character-level language models in Torch” in #Lua, which generate pretty spectacular random text. This is (some of) the code for #unreasonable-RNNs.
on 02015-08-18“The Unreasonable Effectiveness of Recurrent #Neural-Networks” for #image-recognition, #NLP language modeling (producing what looks an awful lot like Markov-chain text with slightly better context-free properties), sequential processing for directing attention over an image, etc. Lots of animations and visualizations of RNNs doing their thing. The models are written in #Lua with something called #Torch-7 and run with #GPGPU. Lots of great comments! "unreasonable RNNs"
on 02015-08-15