Learning How to Learn Efficiently - Nando de Freitas, DeepMind

Explore cutting-edge approaches to machine learning in this 1 hour 45 minute lecture by Nando de Freitas from DeepMind. Delve into the concept of training neural networks to solve multiple tasks with limited data, shifting focus from fixed-parameter classifiers to adaptable "prior" neural networks. Discover how to create fast learners capable of rapidly solving new tasks, effectively building tools that learn. The lecture covers the transition from traditional massive data-driven approaches to more efficient learning methods. Gain insights into advanced topics such as speech recognition, machine translation, game playing, image recognition, text generation, and lipreading. Following the main presentation, participate in a Q&A session and network during the drinks reception. Some technical knowledge is required to fully appreciate the content of this Alan Turing Institute event.

18:00- - Registration
18:30- - Welcome and introduction - Mark Briers The Alan Turing Institute, UK
18:35- - Learning how to learn efficiently - Nando de Freitas Google DeepMind, UK
19:25- - Q&A - Nando de Freitas and Mark Briers
19:40- - Drinks reception