Deep learning with Apache MXNet
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MXNet is a fully-featured, flexibly-programmable, and ultra-scalable deep learning framework supporting state of the art deep learning models. It provides both low-level control and high-level APIs that allow 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. The presentation will give an overview of MXNet and its core capabilities.

Speaker: Nathalie Rauschmayr

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