Apache MXNet：一个为效率和灵活性而设计的深度学习框架

Apache MXNet是一个为效率和灵活性而设计的深度学习框架。

Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. 

它允许您混合使用符号和命令式编程，以最大限度地提高效率和生产力。

It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. 

MXNet的核心包含一个动态依赖性调度程序，该调度程序自动执行并行符号和命令操作。

At its core, MXNet contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly. 

图形优化层使符号执行速度更快、内存效率更高。

A graph optimization layer on top of that makes symbolic execution fast and memory efficient. 

MXNet可移植且轻便，可有效扩展到多个GPU和多台计算机。

MXNet is portable and lightweight, scaling effectively to multiple GPUs and multiple machines.

MXNet已经超越了深度学习项目本身。

MXNet is more than a deep learning project. 

它收集了构建深度学习系统的蓝图和指导方针，以及黑客对DL系统的有趣见解。

It is a collection of blue prints and guidelines for building deep learning systems, and interesting insights of DL systems for hackers.

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