Apache MXNet (incubating) for Deep Learning

Apache MXNet(孵化)是一个旨在提高效率和灵活性的深度学习框架。 它允许您混合符号和命令式编程,以最大限度地提高效率和生产力。 其核心在于,MXNet包含一个动态依赖关系调度程序,可以自动并行处理符号和命令操作。 顶部的图形优化层使得符号执行速度快,记忆效率高。 MXNet是便携式和轻量级的,可有效扩展到多个GPU和多台机器。

MXNet也不仅仅是一个深度的学习项目。 它还是一系列蓝图和建立深度学习系统的指南,以及黑客对深度学习系统的有趣见解。


Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains 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. MXNet is portable and lightweight, scaling effectively to multiple GPUs and multiple machines.

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

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