Hacker News
- How Transformers Work – Model Used by Open AI and DeepMind https://medium.com/@giacaglia/transformers-141e32e69591 17 comments
Linked pages
- https://deepmind.com/blog/alphastar-mastering-real-time-strategy-game-starcraft-ii/ 508 comments
- 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
- Better Language Models and Their Implications https://blog.openai.com/better-language-models/#content 207 comments
- Understanding LSTM Networks -- colah's blog https://colah.github.io/posts/2015-08-Understanding-LSTMs/ 64 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
- Making Things Think: How AI and Deep Learning Power the Products We Use — Holloway https://www.holloway.com/g/making-things-think 10 comments
- The Annotated Transformer https://nlp.seas.harvard.edu/2018/04/03/attention.html 3 comments
- Visualizing A Neural Machine Translation Model (Mechanics of Seq2seq Models With Attention) – Jay Alammar – Visualizing machine learning one concept at a time. https://jalammar.github.io/visualizing-neural-machine-translation-mechanics-of-seq2seq-models-with-attention/ 1 comment
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