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