Christopher Manning

Thomas M. Siebel Professor in Machine Learning

Stanford University

1 standalone talk · 1 total lecture · 1h recorded

AI & Machine Learning

Standalone talks by Christopher Manning

Self-contained public lectures, keynote addresses, and research seminars.

Stanford CS224N: NLP with Deep Learning | Winter 2021 | Lecture 1 - Intro & Word Vectors

15 ch1:24:27

AI & ML·Standalone Lecture

Stanford CS224N: NLP with Deep Learning | Winter 2021 | Lecture 1 - Intro & Word Vectors

Christopher Manning·Stanford University

This lecture introduces foundational concepts in Natural Language Processing, examining how human language and word meaning can be represented by dense vector embeddings. It provides a detailed introduction to the Word2vec algorithm, covering its objective function, gradients, and optimization basics.