Deep Learning for Natural Language Processing - Ethics, Bias and Responsible Use of AI
In this course you will learn to solve a wide range of applied problems in Natural Language Processing, such as text representation, information extraction, text mining, word sense disambiguation, language modeling, similarity detection, and text summarization. The approaches studied in this course focus on neural network architectures such as recurrent neural networks, sequence-to-sequence, and transformers.
0:00 Outline
0:33 Bias and Ethics (short)
1:11:33 AI Responsible Use and Report
Creators
🧑🏫 GippLab: https://gipplab.org/
🔗 CIDAS: https://t1p.de/CIDAS
🎓 Further Informations: https://gipplab.org/deep-learning-for...