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Update visualization docs #390

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Update visualization docs #390

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1 change: 1 addition & 0 deletions doc/source/tools.rst
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Expand Up @@ -53,6 +53,7 @@ Layer deconvolution visualization
`Guided Backprop <http://arxiv.org/pdf/1412.6806.pdf>`__ based
visualization of convolutional layer activations is also supported via
the :py:class:`DeconvCallback<neon.callbacks.callbacks.DeconvCallback>` class or :py:meth:`add_deconv_callback()<neon.callbacks.callbacks.Callbacks.add_deconv_callback>` function.
Note that unlike the paper, the current version of neon does not support generating convolution visualizations for networks that incoorporate pooling.
For example, one can provide the `--deconv` argument to ``examples/imagenet/allcnn.py`` to ensure that the callback gets added:

.. code-block:: bash
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