RNN Symposium 2016: Li Deng - Three cool topics on RNN
RNN Symposium 2016: Panel Discussion - The Future of Machines that Learn Algorithms
RNN Symposium 2016: Paul Werbos - Deep Learning in RNNs: From Basics To New Data on the Brain
Deep Generative and Discriminative Models for Speech Recognition - Dr. Li Deng
RNN Symposium 2016: Jason Weston - New Tasks & Architectures for Language Understanding and Dialogue
RNN Symposium 2016: Mike Mozer - Neural Hawkes Process Memories
RNN Symposium 2016: Nal Kalchbrenner - Generative Modelling as Sequence Learning
RNN Symposium 2016: Oriol Vinyals - Recurrent Nets Frontiers
RNN Symposium 2016: Alex Graves - Differentiable Neural Computer
Dr. Li Deng: Deep Learning: From Academic Ideas to Industrial Deployment
Deep Learning for AI: From Machine Perception to Machine Cognition
RNN Symposium 2016: Ilya Sutskever - Meta Learning in the Universe
Li Deng - "Acoustic Modeling in Automatic Speech Recognition..."
RNN Symposium 2016: Jürgen Schmidhuber - Intro to RNNs and Other Machines that Learn Algorithms
Two Types of Big Data and Three Styles of Deep Learning for AI Applications
Discussion "Deep Learning" - Moderator Dr. Li Deng
UWEE Research Colloquium: January 24, 2012 - Li Deng, Microsoft Research
RNN Symposium: Nando de Freitas - Learning to Learn, to Program, to Explore and to Seek Knowledge
Li Deng at AI Frontiers: Three Generations of Spoken Dialogue Systems
AI in Finance at AI Frontiers 2018: Yazann Romahi, Li Deng, Ashok Srivastava
