Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
| Publication date | 27/04/2016 |
|---|---|
| Host publication | ESANN 2016 - 24th European Symposium on Artificial Neural Networks |
| Publisher | i6doc.com publication |
| Pages | 489-496 |
| Number of pages | 8 |
| ISBN (electronic) | 9782875870278 |
| <mark>Original language</mark> | English |
| Event | 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2016 - Bruges, Belgium Duration: 27/04/2016 → 29/04/2016 |
| Conference | 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2016 |
|---|---|
| Country/Territory | Belgium |
| City | Bruges |
| Period | 27/04/16 → 29/04/16 |
| Name | ESANN 2016 - 24th European Symposium on Artificial Neural Networks |
|---|
| Conference | 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2016 |
|---|---|
| Country/Territory | Belgium |
| City | Bruges |
| Period | 27/04/16 → 29/04/16 |
In recent years, Deep Learning methods and architectures have reached impressive results, allowing quantum-leap improvements in performance in many difficult tasks, such as speech recognition, end-to-end machine translation, image classification/understanding, just to name a few. After a brief introduction to some of the main achievements of Deep Learning, we discuss what we think are the general challenges that should be addressed in the future. We close with a review of the contributions to the ESANN 2016 special session on Deep Learning.