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Update README.md
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mohaseeb authored Sep 14, 2016
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Expand Up @@ -5,7 +5,6 @@ This implementation view the model as a layered network, where each layer implem

Note, the loss in this implementation is an updated version of the one in the paper to allow training a single network for all the classes in the dataset (rather than one network/class). The impact on performance was not estimated. For details check shapelets/network/cross_entropy_loss_layer.py

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## Usage ##
See below. Also have a look at example.py in [the implementation](https://github.com/mohaseeb/shaplets-python). For a stable training, make sure all the features in dataset are [standardized](https://en.wikipedia.org/wiki/Feature_scaling#Standardization) (i.e. each has zero mean and unit variance).

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