Transformer Neural Networks - EXPLAINED! (Attention is all you need)
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REFERENCES
[1] The main Paper: https://arxiv.org/abs/1706.03762
[2] Tensor2Tensor has some code with a tutorial: https://www.tensorflow.org/tutorials/...
[3] Transformer very intuitively explained - Amazing: http://jalammar.github.io/illustrated...
[4] Medium Blog on intuitive explanation: / what-is-a-transformer
[5] Pretrained word embeddings: https://nlp.stanford.edu/projects/glove/
[6] Intuitive explanation of Layer normalization: https://mlexplained.com/2018/11/30/an...
[7] Paper that gives even better results than transformers (Pervasive Attention): https://arxiv.org/abs/1808.03867
[8] BERT uses transformers to pretrain neural nets for common NLP tasks. : https://ai.googleblog.com/2018/11/ope...
[9] Stanford Lecture on RNN: http://cs231n.stanford.edu/slides/201...
[10] Colah’s Blog: https://colah.github.io/posts/2015-08...
[11] Wiki for timeseries of events: https://en.wikipedia.org/wiki/Transfo...)
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