Fourth Edinburgh Deep Learning Workshop 2017

Deep learning methods continue to dominate the field of machine learning, and are now commonplace in many research areas. They get significant media attention. Such methods are remarkably successful at a diverse range of tasks, particularly in supervised learning environments; they have surpassed humans at Go, they self-drive cars, play video games, and are able to detect objects in images and videos with astonishing accuracy. The big area of interest now is utilising deep learning in unsupervised environments. This is in part due to the success of Generative Adversarial Networks which are able to learn to generate high-dimensional artificial images that can be mistaken for real images. This workshop will explore the latest flavours in supervised and unsupervised deep learning to keep machine learners on the cutting edge, as well as the challenges and future directions of deep learning. This workshop also acts as an opportunity for cross-disciplinary discussion and collaboration.