Stanford CS224N – Natural Language Processing with Deep Learning



Natural language processing (NLP) is one of the most important technologies of the information age, and a crucial part of artificial intelligence. Applications of NLP are everywhere because people communicate almost everything in language: web search, advertising, emails, customer service, language translation, medical reports, etc. In recent years, Deep Learning approaches have obtained very high performance across many different NLP tasks, using single end-to-end neural models that do not require traditional, task-specific feature engineering. In this course, students will gain a thorough introduction to cutting-edge research in Deep Learning for NLP. Through lectures, assignments and a final project, students will learn the necessary skills to design, implement, and understand their own neural network models. This year, CS224n will be taught for the first time using PyTorch rather than TensorFlow (as in previous years).

9 reviews for Stanford CS224N – Natural Language Processing with Deep Learning

  1. thnok

    I just love the professor, Christopher Manning.

  2. ch4nt

    my favorite course!!

  3. captain_flashheart

    Oh wow, how have I only just seen this? 20 minutes into it and I love Manning’s way of teaching already.

  4. ron_p82

    Excellent Professor, love the way he explains AI

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