- Deep Learning
- Artificial Neural Networks
- Named-Entity Recognition
- Word Embedding
- Sentiment with Neural Nets
- Natural Language Generation
- Statistical Programming
- Machine Learning
- Siamese Networks
- Python Programming
Natural Language Processing with Sequence Models
Completed by Javier Fumanal Idocin
August 20, 2020
21 hours (approximately)
Javier Fumanal Idocin'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
