Building DeepLearning applications with Apache MXNet

Join us for an interesting and challenging evening with lots of opportunities to learn at the inaugural Apache MXNet Meeting in Copenhagen.

Speakers:

Steffen Rochel: MXNet contributor working at Amazon AI. He will present an introduction to deep learning with MXNet. Starting with an overview and few examples, he walks through training and deployment pipeline. He will have a few interesting use cases for further exploration and deep dives.

Cosmin Catalin Sanda: MXNet enthusiast mixing Data Science and Data Engineering at AudienceProject ApS. He will present a concrete use case of how a CNN network built with MXNet can be used for voice recognition.

Agenda:

17:15 Check In
17:50 Introduction to Deep Learning With MXNet (Steffen Rochel) & QA
18:40 Voice Recognition with MXNet and SageMaker (Cosmin Catalin Sanda) & QA