Apache MXNet
This article contains content that is written like an advertisement. (April 2020) |
Apache Software Foundation | |
---|---|
Stable release | 1.9.1[1]
/ 10 May 2022 |
Repository | |
Written in | Apache License 2.0 |
Website | mxnet |
Apache MXNet is an
As of September 2023, it is no longer actively developed.[4]
Features
Apache MXNet is a scalable deep learning framework that supports deep learning models, such as convolutional neural networks (CNNs) and long short-term memory networks (LSTMs).
Scalability
MXNet can be distributed on dynamic
Flexibility
MXNet supports both imperative and symbolic programming. The framework allows developers to track, debug, save checkpoints, modify hyperparameters, and perform early stopping.
Multiple languages
MXNet supports Python, R, Scala, Clojure, Julia, Perl, MATLAB, and JavaScript for front-end development and C++ for back-end optimization.
Portability
The framework supports deployment of a trained model to low-end devices for inference, such as mobile devices by using Amalgamation.
Cloud Support
MXNet is supported by
See also
References
- ^ "Release 1.9.1". 10 May 2022. Retrieved 30 June 2022.
- ^ "Building Deep Neural Networks in the Cloud with Azure GPU VMs, MXNet and Microsoft R Server". Microsoft. 15 September 2016. Archived from the original on August 15, 2023. Retrieved 13 May 2017.
- ^ "Carlos Guestrin". guestrin.su.domains. Archived from the original on September 22, 2023.
- ^ "Apache MXNet - Apache Attic".
- ^ "Scaling Distributed Machine Learning with the Parameter Server" (PDF). Archived (PDF) from the original on August 13, 2023. Retrieved 2014-10-08.
- ^ "Amalgamation". Archived from the original on 2018-08-08. Retrieved 2018-05-08.
- ^ "Apache MXNet on AWS - Deep Learning on the Cloud". Amazon Web Services, Inc. Retrieved 13 May 2017.
- ^ "Building Deep Neural Networks in the Cloud with Azure GPU VMs, MXNet and Microsoft R Server". Microsoft TechNet Blogs. 15 September 2016. Retrieved 6 September 2017.
- ^ "MXNet, Amazon's deep learning framework, gets accepted into Apache Incubator". Retrieved 2017-03-08.