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Stanford CS224N NLP with Deep Learning | 2023 | Lecture 11 - Natural Language Generation
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Stanford CS224N: Natural Language Processing with Deep Learning | 2023 - Stanford CS224N NLP with Deep Learning | 2023 | Lecture 11 - Natural Language Generation

Unlock Language Power: Dive into Stanford's NLP with Deep Learning Course!

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25 learners

What you'll learn

Understand foundational concepts and techniques of NLP using deep learning, including word vectors and neural classifiers
Apply neural network architectures like RNNs and transformers to solve language processing tasks
Design and optimize models for tasks such as translation, question answering, and coreference resolution
Integrate insights from linguistics to enhance NLP model performance and interpretability

This course includes

  • 29 hours of video
  • Certificate of completion
  • Access on mobile and TV

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For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai This lecture covers: 1. What is NLG? 2. A review: neural NLG model and training algorithm 3. Decoding from NLG models 4. Training NLG models 5. Evaluating NLG Systems 6. Ethical Considerations What is natural language generation? Natural language generation is one side of natural language processing. NLP = Natural Language Understanding (NLU) + Natural Language Generation (NLG) NLG focuses on systems that produce fluent, coherent and useful language output for human consumption Deep Learning is powering next-gen NLG systems! To learn more about this course visit: https://online.stanford.edu/courses/c... To follow along with the course schedule and syllabus visit: http://web.stanford.edu/class/cs224n/ Xiang Lisa Li https://xiangli1999.github.io/ Professor Christopher Manning Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science Director, Stanford Artificial Intelligence Laboratory (SAIL) #naturallanguageprocessing #deeplearning

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