sequence-models-rnn.md

title	Sequence Models & Classic NLP
aliases	Sequence Models & Classic NLP
cssclasses	moc

Sequence Models & Classic NLP

Word embeddings, RNN/LSTM/GRU, seq2seq with attention, neural machine translation, and classic NLP tasks. The bridge to transformers.

76 documents.

Start here

1. MIT 6.S191 (2018): Sequence Modeling with Neural Networks · 🎓 lecture · intro
2. MIT 6.S191 (2019): Recurrent Neural Networks · 🎓 lecture · intro
3. Distributed Representations of Words and Phrases and their Compositionality · 📄 paper · advanced
4. Efficient Estimation of Word Representations in Vector Space · 📄 paper · advanced
5. Neural Machine Translation by Jointly Learning to Align and Translate · 📄 paper · advanced
6. Sequence to Sequence Learning with Neural Networks · 📄 paper · advanced

All documents

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FROM #topic/sequence-models-rnn and -"atlas"
SORT level ASC, published ASC

(The list above renders in Obsidian with the Dataview plugin. On GitHub, browse Start here or the full index.)

Related topics

Neural Network Foundations · Transformers & Attention · Language Models & Pretraining

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