Browsing: Google DeepMind

With more board configurations than there are atoms in the universe, the ancient Chinese game of Go has long been…

Neural networks are the models responsible for the deep learning revolution since 2006, but their foundations go as far as…

Optimization methods are the engines underlying neural networks that enable them to learn from data. In this lecture, DeepMind Research…

In this lecture DeepMind Research Scientist and UCL Professor Thore Graepel explains DeepMind’s machine learning based approach towards AI. He…

Following on from the previous lecture, DeepMind Research Scientist Viorica Patraucean introduces classic computer vision tasks beyond image classification (object…

In the past decade, convolutional neural networks have revolutionised computer vision. In this lecture, DeepMind Research Scientist Sander Dieleman takes…

In this lecture, DeepMind Research Scientist Marta Garnelo focuses on sequential data and how machine learning methods have been adapted…

This lecture, by DeepMind Research Scientist Felix Hill, first discusses the motivation for modelling language with ANNs: language is highly…

Attention and memory have emerged as two vital new components of deep learning over the last few years. This lecture…

Generative adversarial networks (GANs), first proposed by Ian Goodfellow et al. in 2014, have emerged as one of the most…