What is MXNet?.
Apache MXNet is a fast ,scalable training and inference framework with an easy-to-use, concise API for machine learning used to train, and deploy deep neural networks. It is scalable, allowing for fast model training, and supports a flexible programming model and multiple programming languages. This deep learning framework supports state of the art in deep learning models, including convolutional neural networks (CNNs) and long short-term memory networks (LSTMs).
|Maintained by||License Type||Popular Examples||Support||Updates||Developer Skills|
|Python community||Apache License 2.0||–||mxnet.apache.org||–||Python, C++|
|Often Compared to||Testing||Accessibility||Maintained by||Repository|
|Tensorflow, Keras||–||–||Python community||github.com/apache/incubator-mxnet|
- MXNet is designed to be distributed on dynamic cloud infrastructure, using a distributed parameter server.
- Provides a high-level interface that makes it easy to prototype, train, and deploy deep learning models without sacrificing training speed.
- Multiple language Support.