Free Content
Available Content:
How autonomous systems are changing day-to-day life in the U.S.
Explore the practical and ethical implications of automation.
Looking ahead toward the future of robotics
Learn how we create robots and autonomous systems that can interact with humans and safely navigate our world.
Improving Natural Language Understanding through Adversarial Testing
Join Professor Christopher Potts for a discussion of how adversarial testing can improve natural language systems.
Stanza
We’ve just released Stanza v1.1.1, our #NLProc package for many human languages. It adds sentiment analysis, medical English parsing & NER, more customizability of Processors, faster tokenizers, new Thai tokenizer, bug fixes, etc.—try it out!
Stanford CS224N: NLP with Deep Learning | Lecture 1
February 5, 2019
Professor Christopher Manning
Introduction and Word Vectors
Stanford CS224N: NLP with Deep Learning | Lecture 2
February 5, 2019
Professor Christopher Manning
Word Vectors and Word Senses
Stanford CS224N: NLP with Deep Learning | Lecture 3
February 11, 2019
Professor Christopher Manning
Neural Networks
Stanford CS224N: NLP with Deep Learning | Lecture 4
February 11, 2019
Professor Christopher Manning
Backpropagation
Stanford CS224N: NLP with Deep Learning | Lecture 5
February 11, 2019
Professor Christopher Manning
Dependency Parsing
Stanford CS224N: NLP with Deep Learning | Lecture 6
April 20, 2019
Abigail See, PhD Candidate
Professor Christopher Manning
Language Models and RNNs
Stanford CS224N: NLP with Deep Learning | Lecture 7
March 19, 2019
Abigail See, PhD Candidate
Professor Christopher Manning
Vanishing Gradients, Fancy RNNs
Stanford CS224N: NLP with Deep Learning | Lecture 8
May 3, 2019
Abigail See, PhD Candidate
Professor Christopher Manning
Translation, Seq2Seq, Attention
