Deutsch Intern
    Data Science Chair

    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