Covers advanced deep machine learning models and algorithms for Natural Language Processing, such as transformers, pre-trained large language models, contextual embeddings, multi-modal embeddings, mullti-task learning, and reinforcement learning. Provides both theoretical and intuitive understanding of NLP learning models.
5 terms
Other grades
University of California, Santa Cruz
NLP 244 at UCSC: average GPA 3.89 across 111 students. Grade distribution by term. Covers advanced deep machine learning models and algorithms for Natural…
Average GPA: 3.89
Grade distribution records: 111 students across 5 terms.
| Grade | Students | Percent |
|---|---|---|
| A+ | 27 | 24.3% |
| A | 48 | 43.2% |
| A- | 15 | 13.5% |
| B+ | 7 | 6.3% |
| B | 1 | 0.9% |
| S | 13 | 11.7% |
Based on 111 student grade records across 5 terms and 4 professors.
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