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 |
Pros:
- 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.