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| Do the 30-D codes found by the deep |
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| autoencoder preserve the class |
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| structure of the data? |
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| • | Take the 30-D
activity patterns in the code layer |
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| and display them
in 2-D using a new form of |
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| non-linear
multi-dimensional scaling |
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| – | The
method is called UNI-SNE (Cook et.
al. |
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| 2007). |
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| – | It
keeps similar patterns close together and |
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| tries
to push dissimilar ones far apart. |
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| • | Does the learning
find the natural classes? |
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