# Recurrent Neural Networks ## Slides * Recurrent Neural Networks, Code, Latent Variable Models [Keynote](../../slides/4_9/19-RNN.key) [PDF](../../slides/4_9/19-RNN.pdf) * Notebooks - Sequence Models [Jupyter](../../slides/4_9/sequence.ipynb), [PDF](../../slides/4_9/sequence.pdf) - RNN from scratch [Jupyter](../../slides/4_9/rnn-scratch.ipynb), [PDF](../../slides/4_9/rnn-scratch.pdf) - RNN in Gluon [Jupyter](../../slides/4_9/rnn-gluon.ipynb), [PDF](../../slides/4_9/rnn-gluon.pdf) - Long Short Term Memory (LSTM) [Jupyter](../../slides/4_9/lstm.ipynb), [PDF](../../slides/4_9/lstm.pdf) - Gated Recurrent Unit (GRU) [Jupyter](../../slides/4_9/gru.ipynb), [PDF](../../slides/4_9/gru.pdf) ## Homework [Jupyter Notebook](../../slides/4_9/homework8.ipynb), [PDF](../../slides/4_9/homework8.pdf) ## Content * [Building an RNN](http://d2l.ai/chapter_recurrent-neural-networks/rnn-scratch.html) * [Building an RNN in Gluon](http://d2l.ai/chapter_recurrent-neural-networks/rnn-concise.html) * [Backpropagation through Time](http://d2l.ai/chapter_recurrent-neural-networks/bptt.html) ## Videos