Skip to content

Update SIG-request.md #2

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 2 commits into from
Mar 13, 2019
Merged

Update SIG-request.md #2

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
7d9496f
Update SIG-request.md
karllessard Mar 12, 2019
5702693
Update SIG-request.md
karllessard Mar 13, 2019
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 5 additions & 3 deletions sigs/jvm/SIG-request.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2,11 +2,13 @@

## What is this group for?

From the beginning of time, Java has been one of the few languages supported out-of-the-box by TensorFlow, currently having its own client within its main repository. The initial goal was to support inference of pretrained models on JVM-based platforms, such as Android devices. Thereafter, many contributions were made to make Java a good choice even for building, training and serving models. Now most of the development and evolution of this client is driven by the community.
As many sources claim, Java is still on of the (if not the) most popular language found in small to large enterprises around the world. For TensorFlow, it makes it a strategic choice to reach a large audience of programmers who are interested to embed machine learning algorithms in their applications.

The purpose of this group is to establish an official communication channel for discussions and suggestions related to any TensorFlow client library intended to run on a JVM and synchronizing the efforts of the developers contributing to it.
TensorFlow already has a Java client out-of-the-box, which was originaly conceived to support inference on Android devices. As many contributions were made thereafter to make it a good choice even for building, training and serving models, there is still a lot of work to be done before it reaches a level of maturity comparable to Python.

In addition, the group will develop and maintain a new set of high-level utility libraries on top of TensorFlow, in distinct Git repositories, for ramping up ML development on JVMs and deliver new features faster with their own release life cycle.
The purpose of this group is to establish an official communication channel for discussions and suggestions related to TensorFlow support in Java or any other JVM-based languages, such as Kotlin or Scala.

In addition, the group will develop and maintain a new set of high-level utility libraries on top of TensorFlow for providing better tools to developers interested in machine learning on JVMs, with their own distinct repositories and release life cycles.

## Who will be part of it?

Expand Down