An Introduction to Deep Learning with MXNet

Julien Simon

In recent months, Artificial Intelligence has become the hottest topic in the IT industry.
In this session, we’ll explain how Deep Learning — a subset of AI — differs from traditional Machine Learning and how it can help you solve complex problems such as computer vision or natural language processing.
Then, using Python code, we’ll show how to start writing applications using Mxnet, a popular library for Deep Learning which support both CPUs and GPUs.
Finally, we’ll demonstrate how you can achieve excellent results quickly by using state-of-the-art pre-trained models.


Julien Simon, Principal Technical Evangelist at Amazon Web Services. Before joining AWS, Julien served for 10 years as CTO/VP Engineering in top-tier web startups. Thus, he’s particularly interested in all things architecture, deployment, performance, scalability and data. As a Principal Technical Evangelist, Julien speaks very frequently at conferences and technical workshops, where he meets developers and enterprises to help them bring their ideas to life thanks to the Amazon Web Services infrastructure.