Learn resources
GloVe: Global Vectors for Word Representation:
https://nlp.stanford.edu/projects/glove/
https://nlp.stanford.edu/pubs/glove.pdf
https://github.com/stanfordnlp/GloVe
TensorFlow Neural Machine Translation Tutorial:
https://github.com/tensorflow/nmt
Word2Vec:
https://blog.acolyer.org/2016/04/21/the-amazing-power-of-word-vectors/
Word2Vec Visualization:
https://lamyiowce.github.io/word2viz/
WordEmbedding Visualization:
https://ronxin.github.io/wevi/
Glossary of Deep Learning: Word Embedding:
https://medium.com/deeper-learning/glossary-of-deep-learning-word-embedding-f90c3cec34ca
Transformer Model
Attention is all you need: youtube resource:
https://www.youtube.com/watch?v=rBCqOTEfxvg
The Illustrated Transformer:
https://jalammar.github.io/illustrated-transformer/
Tenserflow tutorial
https://www.tensorflow.org/text/tutorials/transformer
Attention is all you need paper:
https://arxiv.org/pdf/1706.03762.pdf
Examples:
https://github.com/JRC1995/Machine-Translation-Transformers