Deep learning for web-scale text
Piotr Mirowski looks under the hood of recurrent neural networks and explains how they can be applied to speech recognition, machine translation, sentence completion, and image captioning.
| Talk Title | Deep learning for web-scale text |
| Speakers | Piotr Mirowski (Google DeepMind) |
| Conference | Strata + Hadoop World |
| Conf Tag | Making Data Work |
| Location | London, United Kingdom |
| Date | June 1-3, 2016 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
Deep learning algorithms can extract the meaning of text by learning representations of words. Piotr Mirowski looks under the hood of recurrent neural networks and explains how they can be applied to speech recognition, machine translation, sentence completion, and image captioning.
