MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

CoRR, Volume abs/1512.01274, 2015.

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As expected that MXNet has similar performance comparing to Torch7 and Caffe, because most computations are spent on the CUDA/CUDNN kernels

Abstract:

MXNet is a multi-language machine learning (ML) library to ease the development of ML algorithms, especially for deep neural networks. Embedded in the host language, it blends declarative symbolic expression with imperative tensor computation. It offers auto differentiation to derive gradients. MXNet is computation and memory efficient ...More

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