![Apache MXNet logo](https://img.softorage.com/software-logo/apache-mxnet.webp)
![Apache MXNet logo background glow](https://img.softorage.com/software-logo/apache-mxnet.webp)
Apache MXNet
A deep learning software framework, used to train, and deploy deep neural networks
&
+ | Multi-Language Support | Supports multiple programming languages including Python, R, Julia, and Go. |
---|---|---|
+ | Hybrid Programming | Combines declarative symbolic expression with imperative tensor computation |
+ | Auto Differentiation | Offers automatic differentiation to derive gradients |
+ | Efficient Execution | Runs efficiently on various systems, from mobile devices to GPU clusters |
+ | Optimization | Provides global computation graph for performance and memory optimization |
+ | KVStore | Facilitates data synchronization over devices with a distributed key-value store |
+ | Graph Optimization | Employs strategies like memory allocation and operation grouping for efficiency |
+ | Scalable | Designed for scalability across distributed systems for large-scale deep neural network applications |
- | Community Size | Smaller open-source community compared to TensorFlow. |
- | Delayed Improvements | Longer time for improvements and bug fixes due to limited community support. |
- | Data-Parallelism | Supports data-parallelism only (single GPU model size limitation) |
- | Sparse Model Incompatibility | Not friendly to sparse models; BytePS focuses on dense DNN models. |
- | Scala Conversion Overhead | Overhead in converting collections when using Scala |
- | Increased JAR File Size | Larger JAR files due to Scala inclusion |
System Requirements
Not available, but we appreciate help! You can help us improve this page by contacting us.
Ratings
Not available, but we appreciate help! You can help us improve this page by contacting us.
Developer
Written in
C++, Python, Perl, Scala, CUDA, R, JavaScript, Julia, Golang
Initial Release
8 April 2014
License
Categories
Alternatives
Machine Learning
Apache Mahout Apache Spark Apache SystemDS Eclipse Deeplearning4j MALLET Massive Online Analysis (MOA) mlpack OpenCV Orange PyTorch scikit-learn TensorFlow The Microsoft Cognitive Toolkit Torch Weka Yooreeka
Deep Learning
Apache SystemDS Caffe Eclipse Deeplearning4j OpenNN PyTorch TensorFlow The Microsoft Cognitive Toolkit Torch Weka
Apache Mahout Apache Spark Apache SystemDS Eclipse Deeplearning4j MALLET Massive Online Analysis (MOA) mlpack OpenCV Orange PyTorch scikit-learn TensorFlow The Microsoft Cognitive Toolkit Torch Weka Yooreeka
Deep Learning
Apache SystemDS Caffe Eclipse Deeplearning4j OpenNN PyTorch TensorFlow The Microsoft Cognitive Toolkit Torch Weka