Notebook Example - Variational Auto Enconders on MNIST (pytorch#415)

* Added VAE example * Improved text style and dependencies section * Updated VAE example with loss plots * Fixed nits, fixed variable callouts and added plot description * Updated docs to include links to the notebook examples * Update examples.rst
readall · Feb 28, 2019 · 671de4c · 671de4c
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diff --git a/docs/source/examples.rst b/docs/source/examples.rst
@@ -9,7 +9,7 @@ to display how it helps to write compact and full-featured training loops in a f
 - `Reinforcement Learning <https://github.com/pytorch/ignite/tree/master/examples/reinforcement_learning>`_
 - `Fast Neural Style <https://github.com/pytorch/ignite/tree/master/examples/fast_neural_style>`_
 
+Notebooks:
 
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+- `Text Classification using Convolutional Neural Networks <https://github.com/pytorch/ignite/blob/master/examples/notebooks/TextCNN.ipynb>`_
+- `Variational Auto Encoders <https://github.com/pytorch/ignite/blob/master/examples/notebooks/VAE.ipynb>`_