Machine Learning for Natural Language Processing
This lecture provides an introduction to advanced topics in the area of Natural language processing, with a focus on Deep Learning-based methods.
Some topics of the lecture are:
Neural Networks
- Introduction to Neural Networks, Backpropagation
- Convolutional Neural Networks
- Recurrent Neural Networks
- Transformers and Large Language Models
- Introduction to PyTorch
NLP Topics:
- Word Embeddings
- Sentiment Analysis
- Text Generation
