Course Material

• Exercise: Github Repo
• Slides: Will be upladed
• Suggested Readings: Alex Graves, Supervised Sequence Labelling with Recurrent Neural Networks, Chapters 1-4,

Additional Material

• Sequence to Sequence Learning with Neural Networks: Original Encoder-Decoder RNN paper.
• Neural Machine Translation by Jointly Learning to Align and Translate: Original RNN attention paper.
• Show, Attend and Tell: Neural Image Caption Generation with Visual Attention: Visual Attention.
• The Unreasonable Effectiveness of Recurrent Neural Networks: Very nice blog post by Andreiy Karpathy describing character-RNNs implemented in Torch.
• CS224d: Deep Learning for Natural Language Processing: Stanford course on Neural networks for natural language processing by Richard Socher