nswamy commented on a change in pull request #12667: add mentions of the gluon 
toolkits and links to resources
URL: https://github.com/apache/incubator-mxnet/pull/12667#discussion_r220380316
 
 

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 File path: docs/gluon/index.md
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 @@ -2,11 +2,14 @@
 
 ![gluon 
logo](https://github.com/dmlc/web-data/blob/master/mxnet/image/image-gluon-logo.png?raw=true)
 
-Based on the [the Gluon API 
specification](https://github.com/gluon-api/gluon-api), the new Gluon library 
in Apache MXNet provides a clear, concise, and simple API for deep learning. It 
makes it easy to prototype, build, and train deep learning models without 
sacrificing training speed. Install the latest version of MXNet to get access 
to Gluon by either following these easy steps or using this simple command:
+Based on the [the Gluon API 
specification](https://github.com/gluon-api/gluon-api), the new Gluon library 
in Apache MXNet provides a clear, concise, and simple API for deep learning. It 
makes it easy to prototype, build, and train deep learning models without 
sacrificing training speed. [Install the latest version of MXNet](/install/) to 
get access to Gluon.
+
+To get started with Gluon, checkout the following resources and tutorials:
+* [60-minute Gluon Crash Course](https://gluon-crash-course.mxnet.io/) - six 
10-minute lessons on using Gluon
+* [GluonCV Toolkit](https://gluon-cv.mxnet.io/) - implementations of state of 
the art deep learning algorithms in **Natural Language Processing (NLP)**
 
 Review comment:
   **Computer Vision (CV)**

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