Update index.md (#7143)

apache · Jul 21, 2017 · 799ed45 · 799ed45
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 These tutorials introduce a few fundamental concepts in deep learning and how to implement them in _MXNet_. The _Basics_ section contains tutorials on manipulating arrays, building networks, loading/preprocessing data, etc. The _Training and Inference_ section talks about implementing Linear Regression, training a Handwritten digit classifier using MLP and CNN, running inferences using a pre-trained model, and lastly, efficiently training a large scale image classifier.
 
+**Note:** We are working on a set of tutorials for the new imperative interface called Gluon. A preview version is hosted at [thestraightdope.mxnet.io](http://thestraightdope.mxnet.io).
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 ## Python
 
 ### Basic