- Are LSTM RNN still relevant? https://towardsdatascience.com/the-fall-of-rnn-lstm-2d1594c74ce0 12 comments deeplearning
- Are RNNs 'dead'? If so what is the current most promising direction for the problems they used to solve. https://towardsdatascience.com/the-fall-of-rnn-lstm-2d1594c74ce0 14 comments learnmachinelearning
Linking pages
Linked pages
- The Unreasonable Effectiveness of Recurrent Neural Networks https://karpathy.github.io/2015/05/21/rnn-effectiveness/ 434 comments
- https://deepmind.com/blog/wavenet-generative-model-raw-audio/ 288 comments
- [1706.03762] Attention Is All You Need https://arxiv.org/abs/1706.03762 145 comments
- Understanding LSTM Networks -- colah's blog https://colah.github.io/posts/2015-08-Understanding-LSTMs/ 64 comments
- A novel approach to neural machine translation - Engineering at Meta https://code.facebook.com/posts/1978007565818999/a-novel-approach-to-neural-machine-translation/ 44 comments
- http://arxiv.org/abs/1410.5401 40 comments
- A Neural Network for Machine Translation, at Production Scale – Google AI Blog https://research.googleblog.com/2016/09/a-neural-network-for-machine.html 29 comments
- The Illustrated Transformer – Jay Alammar – Visualizing machine learning one concept at a time. https://jalammar.github.io/illustrated-transformer/ 25 comments
- Medium https://medium.com/m/signin?isDraft=1&operation=login&redirect=https%3A%2F%2Fmedium.com%2F%40jamie_34747%2F79d382edf22b%3Fsource%3D 19 comments
- Improving language understanding with unsupervised learning https://blog.openai.com/language-unsupervised/ 18 comments
- [1512.03385] Deep Residual Learning for Image Recognition http://arxiv.org/abs/1512.03385 6 comments
- https://dennybritz.com/posts/wildml/recurrent-neural-networks-tutorial-part-3/ http://www.wildml.com/2015/10/recurrent-neural-networks-tutorial-part-3-backpropagation-through-time-and-vanishing-gradients/ 0 comments
- https://einstein.ai/research/non-autoregressive-neural-machine-translation 0 comments
- [1801.06146] Universal Language Model Fine-tuning for Text Classification https://arxiv.org/abs/1801.06146 0 comments
- Speech-to-Text: Automatic Speech Recognition | Google Cloud https://cloud.google.com/speech-to-text/ 0 comments
- [1511.02793] Generating Images from Captions with Attention http://arxiv.org/abs/1511.02793 0 comments
- [1803.01271] An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling https://arxiv.org/abs/1803.01271 0 comments
- [1808.03867] Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction https://arxiv.org/abs/1808.03867 0 comments
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