RNN Symposium 2016: Jason Weston - New Tasks & Architectures for Language Understanding and Dialogue

RNN Symposium 2016: Paul Werbos - Deep Learning in RNNs: From Basics To New Data on the Brain

RNN Symposium 2016: Oriol Vinyals - Recurrent Nets Frontiers

RNN Symposium 2016: Jürgen Schmidhuber - Intro to RNNs and Other Machines that Learn Algorithms

RNN Symposium 2016: Risto Miikkulainen - Scaling up Deep Learning through Neuroevolution

RNN Symposium 2016: Li Deng - Three cool topics on RNN

RNN Symposium 2016: Alex Graves - Differentiable Neural Computer

RNN Symposium 2016: Mike Mozer - Neural Hawkes Process Memories

RNN Symposium 2016: Jürgen Schmidhuber - Asymptotically fastest solver of all well-defined problems

RNN Symposium 2016: Nal Kalchbrenner - Generative Modelling as Sequence Learning

RNN Symposium 2016: Panel Discussion - The Future of Machines that Learn Algorithms

RNN Symposium: Nando de Freitas - Learning to Learn, to Program, to Explore and to Seek Knowledge

RNN Symposium 2016: Ilya Sutskever - Meta Learning in the Universe