By the end of the course the students will
- Understand basic concepts, application areas in NLP and evaluation strategies
- Gain hands-on experience on implementing deep learning models for NLP tasks
- Learn and apply the fundamental deep learning architectural solutions
- Learn how to measure model performance and specific methods to improve performance
- Learn cutting-edge solutions designed specifically for NLP and apply them to real-life problems effectively
- Learn how to deploy a deep network architecture for production