Fueling innovative software
July 15-18, 2019
Portland, OR

Deep learning with Apache MXNet

Nathalie Rauschmayr (Amazon Web Services)
10:00am–10:30am Tuesday, July 16, 2019
Open Source, Open@Amazon , Sponsored
 Location: F150/151
Average rating: *****
(5.00, 1 rating)

MXNet is a fully featured, flexibly programmable, and ultrascalable deep learning framework supporting state of the art deep learning models. It provides both low-level control and high-level APIs, allowing developers to mix imperative and symbolic programming models and to code in their language of choice (including Python, Scala, Java, C++, and R). Besides its computational and memory efficiency, MXNet is lightweight and portable and can run on various systems, including edge devices. It supports distributed training on multi-GPUs across multiple hosts and achieves high scalability.

Join Nathalie Rauschmayr for an overview of MXNet and its core capabilities.

Photo of Nathalie Rauschmayr

Nathalie Rauschmayr

Amazon Web Services

Nathalie Rauschmayr is a machine learning scientist at AWS, where she helps customers develop deep learning applications. She has a research background in high-performance computing, having conducted research in several international research organizations including the German Aerospace Center, the European Organization for Nuclear Research (CERN), and Lawrence Livermore National Laboratory (LLNL).