- Word Embedding
- Siamese Networks
- Sentiment with Neural Nets
- Natural Language Generation
- Named-Entity Recognition
Natural Language Processing with Sequence Models
Completed by CARLOS HERNANDEZ OLIVAN
September 8, 2020
21 hours (approximately)
CARLOS HERNANDEZ OLIVAN's account is verified. Coursera certifies their successful completion of Natural Language Processing with Sequence Models
What you will learn
Use recurrent neural networks, LSTMs, GRUs & Siamese networks in TensorFlow for sentiment analysis, text generation & named entity recognition.
Skills you will gain
