aaronmarkham commented on a change in pull request #13657: update with release notes for 1.4.0 release URL: https://github.com/apache/incubator-mxnet/pull/13657#discussion_r242235885
########## File path: NEWS.md ########## @@ -1,6 +1,565 @@ MXNet Change Log ================ +## 1.4.0 +### New Features +#### Java Inference API + +Model inference is run and managed by software engineers in a production eco-system which is built with tools and frameworks that use Java/Scala as a primary language. Inference on a trained model has two different use-cases: + + 1. Real time or Online Inference - tasks that require immediate feedback, such as fraud detection + 2. Batch or Offline Inference - tasks that don't require immediate feedback, these are use-cases where you have massive amounts of data and want to run Inference or pre-compute inference results +Batch Inference is performed on big data platforms such as Spark using Scala or Java while Real time Inference is typically performed and deployed on popular web frameworks such as Tomcat, Netty, Jetty, etc. which use Java. With this project, we want to build a new set of APIs which are Java friendly, compatible with Java 7+, are easy to use for inference, and lowers the entry barrier of consuming MXNet for production use-cases. More details can be found at the [Java Inference API document](https://cwiki.apache.org/confluence/display/MXNET/MXNet+Java+Inference+API). + +#### Julia API + +MXNet.jl is the Julia package of Apache MXNet. MXNet.jl brings flexible and efficient GPU computing and state-of-art deep learning to Julia. Some highlight of features include: Review comment: ```suggestion MXNet.jl is the Julia package of Apache MXNet. MXNet.jl brings flexible and efficient GPU computing and state-of-art deep learning to Julia. Some highlights of features include: ``` ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services
