Loading Events

« All Events

  • This event has passed.

Talk: Learning how to learn efficiently at the Alan Turing Institute

30 April 2019 @ 6:00 pm - 8:30 pm

- Free

Join The Alan Turing Institute for a talk with Nando de Freitas of Google DeepMind on training neural networks to solve many tasks with fewer data, followed by a Q&A and drinks reception.

Training a large neural network with lots of data and subsequently deploying this model to carry out specific tasks, such as speech recognition, machine translation, game playing, image recognition, image and text generation, text-to-speech, and lipreading has been incredibly fruitful. Instead of focusing on few tasks with massive amounts of data, this talk will however focus training neural networks to solve many tasks with few data each. The objective is not to learn a fixed-parameter classifier, but rather to learn a “prior” neural network that can be adapted rapidly to solve new tasks with few data. The output of training is not longer a fixed model, but rather a fast learner. That is, the goal is to build tools that learn.

Some technical knowledge required.

18:00-18:30 – Registration

18:30-18:35 – Welcome and introduction – Mark Briers (The Alan Turing Institute)

18:35-19:25 – Learning how to learn efficiently – Nando de Freitas (Google DeepMind)

19:25-19:40 – Q&A – Nando de Freitas and Mark Briers

19:40-20:30 – Drinks reception

Limited Spaces Remaining – Book here.

Details

Date:
30 April 2019
Time:
6:00 pm - 8:30 pm
Cost:
Free
Event Categories:
, ,
Website:
https://www.turing.ac.uk/events/turing-lecture-learning-how-learn-efficiently

Venue

Alan Turing Institute
96 Euston Road
London, England NW1 2DB
+ Google Map
Website:
https://www.turing.ac.uk/

Details

Date:
30 April 2019
Time:
6:00 pm - 8:30 pm
Cost:
Free
Event Categories:
, ,
Website:
https://www.turing.ac.uk/events/turing-lecture-learning-how-learn-efficiently

Venue

Alan Turing Institute
96 Euston Road
London, England NW1 2DB
+ Google Map
Website:
https://www.turing.ac.uk/