CS224n and cs224n-2020-winter
These are complements representing different course iterations—one containing the 2017 winter assignments while the other provides the 2020 winter lecture notes, slides, and assignments—so users would reference both to access complete materials across different years of the same Stanford NLP course.
About CS224n
hankcs/CS224n
CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017
This project provides assignments and practical examples for understanding core concepts in Natural Language Processing (NLP) using deep learning. It takes raw text or structured language data and demonstrates how to process it to extract meaning, categorize sentiment, or parse grammatical structure. This is designed for individuals learning or teaching advanced NLP techniques, such as university students, researchers, or data scientists transitioning into language-focused AI.
About cs224n-2020-winter
maxim5/cs224n-2020-winter
All lecture notes, slides and assignments from CS224n: Natural Language Processing with Deep Learning class by Stanford
This collection provides comprehensive materials for learning about Natural Language Processing (NLP) using deep learning techniques. It includes lecture notes, slides, and assignments from Stanford University's CS224n course. It's ideal for students, researchers, or practitioners looking to understand how to build systems that process and understand human language.
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