Skip to content
lectern.tv
Study notebook

Press N to jot a timestamped note or B to pin a moment while watching.

Innate Priors in Deep Learning Systems

Chief AI Scientist; Professor

1:02:56·2018·graduate level·Research Seminar

Yann LeCun and Christopher Manning discuss the role of innate priors in developing more robust and efficient deep learning systems, bridging biological inspiration with advanced AI architectures.

Yann LeCun is the Chief AI Scientist at Facebook AI Research, a Silver Professor at New York University, and one of the leading voices in AI. He pioneered the early use of convolutional neural networks, which have been central to the modern success of Deep Learning. LeCun has been a leading proponent for the ability of simple but powerful neural architectures to perform sophisticated tasks without extensive task-specific feature engineering.

Christopher Manning is the Thomas M. Siebel Professor in Machine Learning at Stanford University, and the world's leading NLP researcher. His work on applying deep learning to NLP includes influential research on Tree Recursive Neural Networks, GLoVe word vectors, and neural dependency parsing. Manning is a proponent for the importance of incorporating linguistic structure into deep learning systems.

Seminar notes & discussion

No public seminar notes on this lecture yet.