MXNet
Curated by SignalOpen-source deep learning framework
Overview
MXNet is an open-source deep learning framework that allows a user to define, train, and deploy deep neural networks. It is scalable, allows fast model training, supports a flexible programming model (imperative and symbolic programming) and multiple languages (including C++, Python, R, Scala, Julia, Matlab, and Javascript). It is built on dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly. It supports distributed training on multiple CPU/GPU machines, including AWS, GCE, Azure, and Yarn clusters. The project has been backed by many big names like Amazon, Baidu, CMU, Turi, Intel, Nvidia and more.
Key facts
- Founded
- 2015
- Headquarters
- Ashburn, United States
- Stage
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- Industry
- High Technology
Business model
- 3 products and services
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