MXNet Overview

The NVIDIA Deep Learning SDK accelerates widely-used deep learning frameworks such as MXNet™ .

MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix the flavors of symbolic programming and imperative programming to maximize efficiency and productivity.

In its core is a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly. A graph optimization layer on top of that makes symbolic execution fast and memory efficient. The library is portable and lightweight, and it scales to multiple GPUs and multiple machines.

MXNet is also more than a deep learning project. It is also a collection of blueprints and guidelines for building deep learning systems and interesting insights of deep learning systems for hackers.

See /workspace/README.md inside the container for information on customizing your MXNet image. For more information about MXNet, including tutorials, documentation, and examples, see:

This document describes the key features, software enhancements and improvements, any known issues, and how to run this container.