NLP 3: Sequence to Sequence and Attention
In this workshop, we tackle the following things:
We talk about the encoder-decoder architecture and implement the Sequence to Sequence (Seq-to-Seq) model for a Natural Language Processing translation system
We discuss the shortcomings of the architecture, and introduce Attention as a way to overcome these shortcomings
We implement the Seq2Seq model with Attention.
Link to repo: https://github.com/AI-Core/NLP
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