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- The Unreasonable Effectiveness of Recurrent Neural Networks https://karpathy.github.io/2015/05/21/rnn-effectiveness/ 434 comments
- [1609.08144] Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation http://arxiv.org/abs/1609.08144 97 comments
- http://www.cs.toronto.edu/~graves/handwriting.html 80 comments
- Generative Models https://openai.com/blog/generative-models/ 60 comments
- Building Autoencoders in Keras https://blog.keras.io/building-autoencoders-in-keras.html 34 comments
- GitHub - kjw0612/awesome-rnn: Recurrent Neural Network - A curated list of resources dedicated to RNN https://github.com/kjw0612/awesome-rnn 12 comments
- [1606.03498] Improved Techniques for Training GANs https://arxiv.org/abs/1606.03498 12 comments
- [1508.06576] A Neural Algorithm of Artistic Style http://arxiv.org/abs/1508.06576 10 comments
- Attention and Augmented Recurrent Neural Networks https://distill.pub/2016/augmented-rnns/ 9 comments
- [1406.2661] Generative Adversarial Networks https://arxiv.org/abs/1406.2661 7 comments
- Long short-term memory - Wikipedia https://en.wikipedia.org/wiki/Long_short-term_memory 4 comments
- [1312.6114] Auto-Encoding Variational Bayes https://arxiv.org/abs/1312.6114 4 comments
- [1601.06759] Pixel Recurrent Neural Networks https://arxiv.org/abs/1601.06759 1 comment
- http://deeplearning.cs.cmu.edu/pdfs/Hochreiter97_lstm.pdf 0 comments
- [1511.05644] Adversarial Autoencoders http://arxiv.org/abs/1511.05644 0 comments
- [1406.6247] Recurrent Models of Visual Attention http://arxiv.org/abs/1406.6247 0 comments
- [1606.03657] InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets https://arxiv.org/abs/1606.03657 0 comments
- Deep nets generating stuff - FastML http://fastml.com/deep-nets-generating-stuff/ 0 comments
- RecurrentJS Sentence Memorization Demo http://cs.stanford.edu/people/karpathy/recurrentjs/ 0 comments
- Recurrent Models of Visual Attention http://papers.nips.cc/paper/5542-recurrent-models-of-visual-attention 0 comments
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