Summary
Keywords
Full Transcript
For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai This lecture covers ConvNets for NLP and Tree Recursive Neural Networks: 1. Course organization updates (5 mins) 2. Intro to CNNs (25 mins) 3. Simple CNN for Sentence Classification: Yoon (2014) (10 mins) 4. CNN potpourri (5 mins) 5. Deep CNN for Sentence Classification: Conneau et al. (2017) (10 mins) 6. Tree Recursive Neural Nets, briefly (15 mins) 7. Recursive Neural Tensor Networks and Sentiment Analysis (15 mins) To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs224n-natural-language-processing-deep-learning To follow along with the course schedule and syllabus visit: hhttps://web.stanford.edu/class/archive/cs/cs224n/cs224n.1246/ Professor Christopher Manning Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science Director, Stanford Artificial Intelligence Laboratory (SAIL)
