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DSI-6110 Natural Language Processing II

In this course you will learn about deep neural networks, and how to use them in processing text with Python. We start with an introduction to neural networks, then extend that knowledge to deep neural networks. We then move on to applications in applying word embeddings, recurrent neural networks, attention, and transformers for information extraction, text classification and other natural-language analytics.

Credits: 3

Offered in Semester, Mar 2024, Jul 2024, Nov 2024, Mar 2025

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(Please visit the University bookstore to view the correct materials for each course by semester as the contents of the actual online syllabus may differ from the preview due to updates or revisions)