RNN Symposium 2016: Panel Discussion - The Future of Machines that Learn Algorithms
Symposium: Deep Learning - Panel
RNN Symposium 2016: Jason Weston - New Tasks & Architectures for Language Understanding and Dialogue
RNN Symposium 2016: Li Deng - Three cool topics on RNN
What's So Deep About Deep Learning?
RNN Symposium 2016: Mike Mozer - Neural Hawkes Process Memories
RNN Symposium 2016: Alex Graves - Differentiable Neural Computer
AUSA Medical Hot Topic 2016 - Panel 3 - Innovating Delivery Models to Sustain the Total Force
RNN Symposium 2016: Oriol Vinyals - Recurrent Nets Frontiers
RNN Symposium 2016: Risto Miikkulainen - Scaling up Deep Learning through Neuroevolution
RNN Symposium 2016: Jürgen Schmidhuber - Asymptotically fastest solver of all well-defined problems
Think Pink: Navigating the Breast Care Continuum - Full Length Panel
RNN Symposium 2016: Jürgen Schmidhuber - Intro to RNNs and Other Machines that Learn Algorithms
Challenge 1: Failure to Rescue Panel Discussion
RNN Symposium 2016: Paul Werbos - Deep Learning in RNNs: From Basics To New Data on the Brain
RNN Symposium 2016: Nal Kalchbrenner - Generative Modelling as Sequence Learning
RNN Symposium: Nando de Freitas - Learning to Learn, to Program, to Explore and to Seek Knowledge
ICML DL Workshop 2015 - Panel Discussion
"Is Bayesian deep learning the most brilliant thing ever?" - a panel discussion
Biden Cancer Community Summit Panel Discussion and Q&A
