European Conference on Machine Learning and Knowledge Discovery in Databases, ECML-PKDD 2019

Mocanu, E. (Organiser)
Decebal Constantin Mocanu (Organiser)

Activity: Participating in or organising an event › Organising a conference, workshop, ...

Description

Tutorial Scalable Deep Learning

Period	19 Sept 2019
Event type	Conference
Location	Würzburg, Germany, BavariaShow on map
Degree of Recognition	International

Keywords

Artificial intelligence
Deep learning
Scalable deep learning
Efficient deep learning

Documents & Links

A fundamental task for artificial intelligence is learning. Deep Neural Networks have proven to cope perfectly with all learning paradigms, i.e. supervised, unsupervised, and reinforcement learning. Nevertheless, traditional deep learning approaches make use of cloud computing facilities and do not scale well to autonomous agents with low computational resources. Even in the cloud they suffer from computational and memory limitations and cannot be used to model properly large physical worlds for agents which assume networks with billion of neurons. These issues were addressed in the last few years by the emerging topics of scalable and efficient deep learning. The tutorial covers these topics focusing on theoretical advancements, practical applications, and hands-on experience.