Class Notebooks

1. (BOW and Embeddings)

2. (Sequence Modelling)

3. (Introduction to Transformers)

Here are few links to go through in the class

1. Visual introduction to attention:

   https://jalammar.github.io/visualizing-neural-machine-translation-mechanics-of-seq2seq-models-with-attention/

2. The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning)

   http://jalammar.github.io/illustrated-bert/

3. Illustrated Transformer

   http://jalammar.github.io/illustrated-transformer/

A good read:

1. 10 Things You Need to Know About BERT and the Transformer Architecture That Are Reshaping the AI Landscape https://neptune.ai/blog/bert-and-the-transformer-architecture-reshaping-the-ai-landscape