RNN Symposium: Nando de Freitas - Learning to Learn, to Program, to Explore and to Seek Knowledge
Learning to learn and compositionality with deep recurrent neural networks
Nando de Freitas - Lecture 2 - RL and deep learning
05 Convolutional Neural Networks Nando de Freitas
Deep Control - Nando de Freitas
Nando de Freitas - Learning to Learn, to Program, to Explore and to Seek Knowledge (NIPS 2016)
Day 1.2 Nando de Freitas
Training Large-Scale Deep Nets with RL with Nando de Freitas - TWiML Talk #213
DeepMind's Nando de Freitas - Learning to Learn
Nando de Freitas - On Learning
Deep Learning Lecture 13: Alex Graves on Hallucination with RNNs
NIPS 2016 Workshop on Nonconvex Optimization: Nando de Freitas (Learning to Optimize)
RNN Symposium 2016: Alex Graves - Differentiable Neural Computer
Plenary Panel: Is Deep Learning the New 42?
Machine learning | 5 Regularization, Cross Validation & Data Size | Free Online Course
RNN Symposium 2016: Panel Discussion - The Future of Machines that Learn Algorithms
RNN Symposium 2016: Mike Mozer - Neural Hawkes Process Memories
RNN Symposium 2016: Jason Weston - New Tasks & Architectures for Language Understanding and Dialogue
RNN Symposium 2016: Ilya Sutskever - Meta Learning in the Universe
RNN Symposium 2016: Paul Werbos - Deep Learning in RNNs: From Basics To New Data on the Brain
