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new 599ffe4 Update README.md (#12208)
599ffe4 is described below
commit 599ffe47a782224005dc152b737203225694750f
Author: Steffen Rochel <[email protected]>
AuthorDate: Fri Aug 17 08:54:00 2018 -0700
Update README.md (#12208)
Removed reference to gitter, updated references from dmlc to Apache github
and reordered references to make asking questions & how to contribute more
visible.
---
README.md | 25 +++++++++++++------------
1 file changed, 13 insertions(+), 12 deletions(-)
diff --git a/README.md b/README.md
index 7e9dc91..3d570ee 100644
--- a/README.md
+++ b/README.md
@@ -21,7 +21,15 @@ MXNet is also more than a deep learning project. It is also
a collection of
[blue prints and
guidelines](https://mxnet.incubator.apache.org/architecture/index.html#deep-learning-system-design-concepts)
for building
deep learning systems, and interesting insights of DL systems for hackers.
-[](https://gitter.im/dmlc/mxnet?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
+Ask Questions
+-------------
+* Please use [discuss.mxnet.io](https://discuss.mxnet.io/) for asking
questions.
+* Please use [mxnet/issues](https://github.com/apache/incubator-mxnet/issues)
for reporting bugs.
+* [Frequent Asked Questions](https://mxnet.incubator.apache.org/faq/faq.html)
+
+How to Contribute
+-----------------
+* [Contribute to
MXNet](https://mxnet.incubator.apache.org/community/contribute.html)
What's New
----------
@@ -37,7 +45,7 @@ What's New
* [Version 0.9.1 Release (NNVM
refactor)](./docs/architecture/release_note_0_9.md) - NNVM branch is merged
into master now. An official release will be made soon.
* [Version 0.8.0 Release](https://github.com/dmlc/mxnet/releases/tag/v0.8.0)
* [Updated Image Classification with new Pre-trained
Models](./example/image-classification)
-* [Python Notebooks for How to Use
MXNet](https://github.com/dmlc/mxnet-notebooks)
+* [Notebooks How to Use
MXNet](https://github.com/zackchase/mxnet-the-straight-dope)
* [MKLDNN for Faster CPU Performance](./MKLDNN_README.md)
* [MXNet Memory Monger, Training Deeper Nets with Sublinear Memory
Cost](https://github.com/dmlc/mxnet-memonger)
* [Tutorial for NVidia GTC 2016](https://github.com/dmlc/mxnet-gtc-tutorial)
@@ -56,11 +64,9 @@ Contents
--------
* [Documentation](https://mxnet.incubator.apache.org/) and
[Tutorials](https://mxnet.incubator.apache.org/tutorials/)
* [Design Notes](https://mxnet.incubator.apache.org/architecture/index.html)
-* [Code Examples](https://github.com/dmlc/mxnet/tree/master/example)
+* [Code
Examples](https://github.com/apache/incubator-mxnet/tree/master/example)
* [Installation](https://mxnet.incubator.apache.org/install/index.html)
-* [Pretrained Models](https://github.com/dmlc/mxnet-model-gallery)
-* [Contribute to
MXNet](https://mxnet.incubator.apache.org/community/contribute.html)
-* [Frequent Asked Questions](https://mxnet.incubator.apache.org/faq/faq.html)
+* [Pretrained
Models](http://mxnet.incubator.apache.org/api/python/gluon/model_zoo.html)
Features
--------
@@ -72,14 +78,9 @@ Features
* Support for Python, R, Scala, C++ and Julia
* Cloud-friendly and directly compatible with S3, HDFS, and Azure
-Ask Questions
--------------
-* Please use [discuss.mxnet.io](https://discuss.mxnet.io/) for asking
questions.
-* Please use [mxnet/issues](https://github.com/dmlc/mxnet/issues) for
reporting bugs.
-
License
-------
-Licensed under an
[Apache-2.0](https://github.com/dmlc/mxnet/blob/master/LICENSE) license.
+Licensed under an
[Apache-2.0](https://github.com/apache/incubator-mxnet/blob/master/LICENSE)
license.
Reference Paper
---------------