Sequence Models in NLP
This is the third course in the Natural Language Processing Specialization.
Week 1: Sentiment with Neural Nets
- Train a neural network with GLoVe word embeddings to perform sentiment analysis of tweets
Week 2: Language Generation Models
- Generate synthetic Shakespeare text using a Gated Recurrent Unit (GRU) language model
Week 3: Named Entity Recognition (NER)
- Train a recurrent neural network to perform NER using LSTMs with linear layers
Week 4: Siamese Networks
- Use so-called ‘Siamese’ LSTM models to compare questions in a corpus and identify those that are worded differently but have the same meaning