Apache MXNet is an open-source deep learning framework designed for flexible research prototyping and production use. It offers a hybrid front-end that seamlessly transitions between Gluon eager imperative mode and symbolic mode, providing both flexibility and speed.
The framework supports scalable distributed training with dual Parameter Server and Horovod support, optimizing performance in research and production. It boasts a thriving ecosystem of tools and libraries, expanding its applications to computer vision, natural language processing, time series, and more.
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