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.
Looking for other MXNet-like programs? We've rounded up our favorites MXNet alternatives. Try any one of these fan favorites to see if they'll support your system and meet your specific needs.
Enterprise scale, open-source, distributed deep-learning library written for Java and Scala.
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